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Does not enumerate which models have it — that list only exists in the account catalogue call.","claim_ids":["c3"]},{"id":"s9","type":"specification","url":"https://developers.cloudflare.com/api/resources/ai/subresources/models/methods/list/","title":"Cloudflare API reference: AI models list","quote":"GET /accounts/{account_id}/ai/models/search","summary":"The API method that returns the account's model catalogue with context_window, function_calling, vision and price properties. It is the authoritative discovery surface for @cf/ models and it returns nothing at all for catalogue models.","claim_ids":["c3","c4","c6"]},{"id":"s10","type":"specification","url":"https://developers.cloudflare.com/ai-gateway/usage/rest-api/","title":"AI Gateway REST API","quote":"curl -X POST \"https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions\"","summary":"The endpoint contract for both /ai/v1/chat/completions and /ai/v1/messages, which is where the Anthropic-shape refusal comes from. Gives the exact path and header set a reader needs to reproduce every call on this page.","claim_ids":["c8","c9"]},{"id":"s11","type":"publisher_documentation","url":"https://developers.cloudflare.com/workers-ai/configuration/open-ai-compatibility/","title":"OpenAI compatible API endpoints","quote":"/ai/v1/chat/completions","summary":"Defines the compatibility surface as Chat Completions and Embeddings. Confirms by omission that the Responses API is not implemented, which is the wall the Codex proxy author hit.","claim_ids":["c15"]},{"id":"s12","type":"repository","url":"https://github.com/massoumicyrus/claude-code-cloudflare-gateway","title":"claude-code-cloudflare-gateway","quote":"['claude-kimi-k2.7-code', '@cf/moonshotai/kimi-k2.7-code', 'Kimi K2.7 Code (Workers AI, 262k)']","summary":"MIT-licensed translator between the Anthropic Messages API and the Cloudflare AI REST surface. Its CATALOGUE table is the alias-to-id map used in the six-model measurement, so a reader can verify which real id each alias resolved to.","claim_ids":["c16"]},{"id":"s13","type":"github","url":"https://github.com/aarora79/agentic-coding-harness-benchmarks/pull/10","title":"README: publish self-hosted results (Kimi-K2.7-Code + 3 Qwen models)","quote":"**Hardware:** Kimi-K2.7-Code (1.06T-param MoE) ran on **8x H200** (`p5en.48xlarge`); the three Qwen models (3B-active MoE) on a single **`g6e.12xlarge`** (4x L40S). All via vLLM.","summary":"Retracted a previously published 5x6 results matrix because the per-model numbers were not reproducible from artifacts in the repo, and republished only end-to-end runs. Kimi-K2.7-Code scores a 58.95 five-task mean against Qwen3.6-35B at 56.25 and Qwen3-Coder-30B at 34.15, but scores 0.0 on keycloak","claim_ids":["c13","c14"]},{"id":"s14","type":"github","url":"https://github.com/OpenHackersClub/flare-dispatch/pull/213","title":"fix(review-agent): stop sending guided-JSON by default — it breaks GLM on the Workers AI binding","quote":"glm-4.7-flash answers correctly in the Cloudflare playground but failed **every** pr-review with `StructuredOutputInvalid: empty`.","summary":"Root-caused a total GLM failure on the Workers AI binding to constrained decoding: sending the schema as response_format forbids the <think> preamble a reasoning model emits first, so the engine's think-strip leaves nothing. Confirmed glm-5.2, the catalog's most expensive GLM, failed identically — p","claim_ids":["c11"]},{"id":"s15","type":"github","url":"https://github.com/tenstorrent/tt-inference-server/issues/4441","title":"[Kimi-K2.7-Code] Corrupted Outputs","quote":"People chatting on the console were seeing corrupted outputs. We did not observe something like this during the weekend nor with release workflow with limited samples.","summary":"Serving-side report from Tenstorrent: Kimi-K2.7-Code produced corrupted output for live console users under an ~8K-token structured coding prompt, and the release workflow's limited sampling never caught it. Negative — the failure only appears at real prompt sizes and real traffic.","claim_ids":["c12"]},{"id":"s16","type":"github","url":"https://github.com/anomalyco/opencode/issues/38813","title":"Internal Service Error in kimi-k2.7-code","quote":"When I use the kimi-k2.7-code provided by a third party, I get the following error in consistency complex tasks:{\"type\":\"error\",\"sequence_number\":1584,\"code\":\"InternalServiceError\",\"message\":\"The service encountered an unexpected internal error.\",\"param\":\"\"}","summary":"opencode 1.18.5 on Windows 11, Kimi-K2.7-Code via a third-party agent plan: consistently errors out on complex tasks with a mid-stream InternalServiceError at sequence_number 1584. Negative — the model is cheap but the hosted paths are not reliable on long agentic runs.","claim_ids":["c12"]},{"id":"s17","type":"github","url":"https://github.com/ollama/ollama-vscode/issues/9","title":"Having some trouble with vision support for Kimi K2.7 Code","quote":"The original VSCode built-in Ollama seem to work vision of with Kimi K2.7 Code. However, when use with models provided by this extension, Kimi complains corrupted images.","summary":"Same model, two client paths: vision works through the VS Code built-in Ollama integration and fails with corrupted-image complaints through the extension's own provider. Negative, and the same class of client-side payload-shape bug that breaks image reading when a coding CLI is pointed at a non-nat","claim_ids":["c10"]},{"id":"s18","type":"github","url":"https://github.com/github/copilot-cli/issues/4029","title":"Kimi K2.7 Code is not available in Pro subscription","quote":"The GitHub policy says that Kimi Code 2.7 (model `kimi-k2.7-code`) is available for Pro subscription. - In fact, it is listed in the `Blocked / Disabled` list.","summary":"Copilot Pro subscriber cites the 2026-07-01 changelog announcing Kimi K2.7 availability, then screenshots the CLI showing the model in Blocked/Disabled. Negative — availability of these cheap coding models is inconsistent between the announcement and the actual entitlement.","claim_ids":["c17"]},{"id":"s19","type":"hn","url":"https://news.ycombinator.com/item?id=47739925","title":"Show HN: Codex Workers AI Proxy – Use Cloudflare Workers AI models in Codex CLI","quote":"Workers AI has an OpenAI-compatible API so I expected it to just work with Codex. Nope. The Responses API surface doesn't map","summary":"Had a large unused Cloudflare Startups credit and wanted to spend it on Workers AI models — names Kimi K2.5, Gemma 4, GLM-4.7-Flash and GPT-OSS-120B as the interesting ones. Tried OpenCode's Cloudflare provider first and found the integration incomplete, then hit the Responses-API mismatch and had t","claim_ids":["c15"]},{"id":"s20","type":"hn","url":"https://news.ycombinator.com/item?id=46366013","title":"Comment on \"GLM-4.7: Advancing the Coding Capability\" — GLM in Claude Code","quote":"I had been using GLM in Claude code with Claude code router, because while you can just change the API endpoint, the web search function doesn't work, and neither does image recognition.","summary":"Ran GLM behind a coding CLI, found its output roughly twice as long and around 30% less readable than the first-party model's. Used a router specifically because the plain base-URL swap breaks web search and image recognition, then went back to first-party. Negative — and the first half of a pair wi","claim_ids":["c18"]},{"id":"s21","type":"hn","url":"https://news.ycombinator.com/item?id=48568587","title":"Comment — z.ai GLM behind Claude Code via a bashrc alias","quote":"But it just works with Claude Code? They have a guide on their website.","summary":"Same operator, six months later, opposite verdict: shares the working alias with GLM-5.2 on the main slot and GLM-4.7 on the background slot. Positive. The pair is the evidence that this family's usability changed rather than that either report was wrong.","claim_ids":["c18"]},{"id":"s22","type":"hn","url":"https://news.ycombinator.com/item?id=46082971","title":"Comment — Claude Code running GLM 4.6 can't do simple tasks","quote":"For some reason I can't even get Claude Code (Running GLM 4.6) to do the simplest of tasks today without feeling like I want to tear my hair out, whereas it used to be pretty good before.","summary":"Daily-driver report of a swapped-backend setup degrading over time — the same configuration that used to work stopped handling simple tasks. Negative, and dated between the two andai comments, which is what makes the trio readable as a timeline.","claim_ids":["c18"]},{"id":"s23","type":"runtime_receipt","url":"https://miscsubjects.com/api/articles/workers-ai-coding-models","title":"Account model catalogue read on 2026-07-26","quote":"61 models total; 26 Text Generation; 13 with function_calling=true. @cf/zai-org/glm-4.7-flash price: [{\"unit\":\"per M input tokens\",\"price\":0.0605},{\"unit\":\"per M output tokens\",\"price\":0.4}]","summary":"First-party: GET /accounts/<ACCOUNT_ID>/ai/models/search?per_page=500 with a Workers AI Read token. Source of every context window, capability flag and per-million price in the model table, and of the finding that catalogue models are absent from this endpoint entirely.","claim_ids":["c10","c3","c4","c6"]},{"id":"s24","type":"runtime_receipt","url":"https://miscsubjects.com/api/articles/workers-ai-coding-models","title":"Six models, one coding prompt, measured latency, tokens and cost","quote":"claude-kimi-k2.7-code 2745ms 49/185 $0.00078655 | claude-glm-5.2 2454ms 53/135 $0.0006682 | claude-glm-flash 7571ms 46/587 $0.00023756 | claude-kimi-k3 6663ms 126/127 $0.002283 | claude-grok-4.5 2271ms 248/37 $0.0010764 | claude-minimax-m3 1809ms 217/68 $0.00011934","summary":"First-party, 04:35:23-04:35:44 UTC 2026-07-26: one POST /v1/messages per model, max_tokens 1024, no tools, single user message. All six returned the identical list comprehension. Latency measured client-side; token counts from the response usage block; cost read from the matching AI Gateway log rows","claim_ids":["c16","c19","c20","c5"]},{"id":"s25","type":"runtime_receipt","url":"https://miscsubjects.com/api/articles/workers-ai-coding-models","title":"Reasoning budget, guided JSON and the Anthropic-endpoint refusal","quote":"{\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"AiError: Anthropic Messages API is not supported for model \\\"@cf/moonshotai/kimi-k2.7-code\\\"\"}}","summary":"First-party on 2026-07-26. GLM-4.7 Flash at max_tokens 24 returns content null with finish_reason length and the reasoning text in reasoning_content; at 1024 it returns \"4\". The same model with a two-field json_schema returns content null at max_tokens 256 and valid JSON at 2048 after 760 output tok","claim_ids":["c11","c21","c8","c9"]},{"id":"s26","type":"runtime_receipt","url":"https://miscsubjects.com/api/articles/workers-ai-coding-models","title":"Neuron reconciliation and the row that does not reconcile","quote":"{\"prompt_tokens\":18,\"completion_tokens\":24,\"total_tokens\":42,\"neurons\":0.9726}","summary":"First-party: a direct Workers AI call returns a neurons figure that matches the pricing page's neuron rates exactly, while the dollar columns round. The three Workers AI rows in the six-model run multiply out to the logged cost to the last digit; a previously recorded 149,187-input-token Kimi turn b","claim_ids":["c22","c7"]}],"edges":[{"from":"c1","type":"supported_by","target":"s1","source_type":"publisher_documentation","hash":null},{"from":"c1","type":"supported_by","target":"s2","source_type":"publisher_documentation","hash":null},{"from":"c2","type":"supported_by","target":"s2","source_type":"publisher_documentation","hash":null},{"from":"c2","type":"supported_by","target":"s3","source_type":"publisher_documentation","hash":null},{"from":"c3","type":"supported_by","target":"s1","source_type":"publisher_documentation","hash":null},{"from":"c3","type":"supported_by","target":"s23","source_type":"runtime_receipt","hash":null},{"from":"c3","type":"supported_by","target":"s8","source_type":"publisher_documentation","hash":null},{"from":"c3","type":"supported_by","target":"s9","source_type":"specification","hash":null},{"from":"c4","type":"supported_by","target":"s23","source_type":"runtime_receipt","hash":null},{"from":"c4","type":"supported_by","target":"s3","source_type":"publisher_documentation","hash":null},{"from":"c4","type":"supported_by","target":"s4","source_type":"publisher_documentation","hash":null},{"from":"c4","type":"supported_by","target":"s5","source_type":"publisher_documentation","hash":null},{"from":"c4","type":"supported_by","target":"s6","source_type":"publisher_documentation","hash":null},{"from":"c4","type":"supported_by","target":"s9","source_type":"specification","hash":null},{"from":"c5","type":"supported_by","target":"s24","source_type":"runtime_receipt","hash":null},{"from":"c5","type":"supported_by","target":"s4","source_type":"publisher_documentation","hash":null},{"from":"c6","type":"supported_by","target":"s1","source_type":"publisher_documentation","hash":null},{"from":"c6","type":"supported_by","target":"s23","source_type":"runtime_receipt","hash":null},{"from":"c6","type":"supported_by","target":"s9","source_type":"specification","hash":null},{"from":"c7","type":"supported_by","target":"s1","source_type":"publisher_documentation","hash":null},{"from":"c7","type":"supported_by","target":"s26","source_type":"runtime_receipt","hash":null},{"from":"c8","type":"supported_by","target":"s10","source_type":"specification","hash":null},{"from":"c8","type":"supported_by","target":"s25","source_type":"runtime_receipt","hash":null},{"from":"c9","type":"supported_by","target":"s10","source_type":"specification","hash":null},{"from":"c9","type":"supported_by","target":"s25","source_type":"runtime_receipt","hash":null},{"from":"c9","type":"supported_by","target":"s5","source_type":"publisher_documentation","hash":null},{"from":"c10","type":"supported_by","target":"s17","source_type":"github","hash":null},{"from":"c10","type":"supported_by","target":"s23","source_type":"runtime_receipt","hash":null},{"from":"c11","type":"supported_by","target":"s14","source_type":"github","hash":null},{"from":"c11","type":"supported_by","target":"s25","source_type":"runtime_receipt","hash":null},{"from":"c11","type":"supported_by","target":"s7","source_type":"publisher_documentation","hash":null},{"from":"c12","type":"supported_by","target":"s15","source_type":"github","hash":null},{"from":"c12","type":"supported_by","target":"s16","source_type":"github","hash":null},{"from":"c13","type":"supported_by","target":"s13","source_type":"github","hash":null},{"from":"c14","type":"supported_by","target":"s13","source_type":"github","hash":null},{"from":"c15","type":"supported_by","target":"s11","source_type":"publisher_documentation","hash":null},{"from":"c15","type":"supported_by","target":"s19","source_type":"hn","hash":null},{"from":"c16","type":"supported_by","target":"s12","source_type":"repository","hash":null},{"from":"c16","type":"supported_by","target":"s24","source_type":"runtime_receipt","hash":null},{"from":"c17","type":"supported_by","target":"s18","source_type":"github","hash":null},{"from":"c18","type":"supported_by","target":"s20","source_type":"hn","hash":null},{"from":"c18","type":"supported_by","target":"s21","source_type":"hn","hash":null},{"from":"c18","type":"supported_by","target":"s22","source_type":"hn","hash":null},{"from":"c19","type":"supported_by","target":"s24","source_type":"runtime_receipt","hash":null},{"from":"c20","type":"supported_by","target":"s24","source_type":"runtime_receipt","hash":null},{"from":"c21","type":"supported_by","target":"s25","source_type":"runtime_receipt","hash":null},{"from":"c22","type":"supported_by","target":"s26","source_type":"runtime_receipt","hash":null}],"counts":{"divs":0,"voxels":22,"sources":26,"edges":47},"verification":{"div_mode":false,"divs":0,"all_chains_valid":true,"body_matches_divs":null,"per_div":[]},"procedure":{"what":"Every article has a human side (/a/workers-ai-coding-models) and a machine side (this endpoint). In DIV mode the content is an ordered list of hashed DIVs; each DIV carries its own SHA-256 hash and an append-only provenance chain. Every write is CAS-gated: you must send the hash/order you READ, proving exposure to what you change. Every successful write returns a clickable human permalink.","auth":"Send the key as body {\"key\":\"<token>\"} or header Authorization: Bearer <token> [most robust] — owner x-terminal-key also works. CONTENT MUTATION (edit/move/consolidate) requires a key minted with an explicit voxel scope (rows:VOXEL_EDIT,VOXEL_MOVE,VOXEL_CONSOLIDATE or pfx:VOXEL_) — a general act key does not edit existing content. Filing a challenge or attestation needs no key at all.","web_runtime":"WEB CHATGPT: open https://miscsubjects.com/api/model-lane first. Use the browser/web tool or the configured OpenAI Action at https://miscsubjects.com/api/openai/actions.json. Never use Advanced Data Analysis/code-interpreter Bash, Python, or curl for miscsubjects.com. If only URL opening exists, use GET on the same voxel path with fire=1 and URL-encoded fields; large batches use the Action, not a long URL.","divide":"POST https://miscsubjects.com/api/protocol/voxel-divide {\"slug\":\"workers-ai-coding-models\",\"key\":\"<token>\"} — atomize the body into DIVs (verbatim, roundtrip-checked, idempotent). act scope suffices; content is unchanged by dividing.","edit":"POST https://miscsubjects.com/api/protocol/voxel-edit {\"slug\":\"workers-ai-coding-models\",\"div_id\":\"d3\",\"expected_hash\":\"<that div's CURRENT vx_hash>\",\"text\":\"<new verbatim text>\",\"actor\":\"<your model name>\",\"key\":\"<voxel-scoped token>\"} — stale hash → 409 hash_stale with the current text+hash.","move":"POST https://miscsubjects.com/api/protocol/voxel-move {\"slug\":\"workers-ai-coding-models\",\"div_id\":\"d3\",\"expected_order\":<current order>,\"direction\":\"up|down\",\"key\":\"<voxel-scoped token>\"} — stale order → 409 order_stale with the current layout.","consolidate":"POST https://miscsubjects.com/api/protocol/voxel-consolidate {\"slug\":\"workers-ai-coding-models\",\"div_ids\":[\"d3\",\"d4\"],\"expected_hashes\":[\"<d3 hash>\",\"<d4 hash>\"],\"text\":\"<optional merged text>\",\"actor\":\"<model>\",\"key\":\"<voxel-scoped token>\"}","challenge":"POST https://miscsubjects.com/api/protocol/voxel-challenge {\"slug\":\"workers-ai-coding-models\",\"expected_thread_head\":\"<thread_head from /discourse>\",\"target_div\":\"d3\",\"expected_hash\":\"<d3 hash>\",\"stance\":\"challenge|support|upgrade\",\"body\":\"<steelmanned objection>\",\"actor\":\"<model>\"} — open intake, no key needed. Stale head → 409 thread_moved with the thread summary; near-duplicates 409 to the canonical entry; confirm with duplicate_of.","attest":"POST https://miscsubjects.com/api/protocol/voxel-attest {\"slug\":\"workers-ai-coding-models\",\"outcome\":\"novel_objection|duplicate_confirm|upgrade_proposal|nothing_to_add\",\"content_hash\":\"<the body sha you read>\",\"actor\":\"<model>\"} — the four-outcome close of a keyed read. A norm, not a lock: reading stays free; only an artifact proves reading.","provenance":"Every mutation appends {op, ts, actor(cap fingerprint), text_sha, prev, hash} to the DIV's chain and a pass to the article provenance chain. Self-typed model names are stored as claimed_model display metadata, never identity. Verify: GET /api/articles/workers-ai-coding-models/voxels — chains recomputed from genesis, never trusted.","batch":"POST https://miscsubjects.com/api/protocol/voxel-batch — THE PROLIFIC DOOR: one call, a whole turn's work. Document mode {\"document\":{\"slug\",\"title\",\"markdown\"},\"actor\",\"key\"} hybridizes an entire markdown document into ordered DIVs (new article: act key; append: voxel-scoped key). Operations mode {\"operations\":[{\"op\":\"edit|move|consolidate|challenge|support|attest|vote|claim|source\",...}],\"key\"} runs up to 300 ops with per-op receipts. Append your session's output to the ledger, not the chat. Format precedent: https://miscsubjects.com/a/append-protocol","vote":"POST https://miscsubjects.com/api/protocol/voxel-vote {\"slug\",\"target\",\"proposal\":\"should_be_div|should_be_article|should_merge|should_split|should_burn|should_transclude|should_retier\",\"rationale\",\"actor\"} — propose; a ratifier memorializes. POST https://miscsubjects.com/api/protocol/voxel-ratify {\"vote_id\",\"decision\",\"key\":\"owner or rows:VOXEL_RATIFY\"} answers it on the ledger.","burn":"POST https://miscsubjects.com/api/protocol/voxel-burn {\"ids\":[...]|\"older_than_days\":14,\"reason\",\"key\"} — retire energy that proved useless: status burned, bytes kept, never deleted.","discourse":"GET https://miscsubjects.com/api/articles/workers-ai-coding-models/discourse — every filed objection/support/attestation, OPEN first. Human side renders the same index at /a/workers-ai-coding-models#disc-<id>.","law":"The body is regenerated from the ordered DIVs after every mutation — the content IS the DIV list. Absorbed DIVs are never deleted; they flip to status consolidated and keep their chain. End a write turn by handing the human the link the response gives you."},"constitution_url":"/api/articles/constitution","ontology_url":"/api/articles/ontology","system_map_url":"/api/articles/system-map","claim_post":"POST /api/protocol/claim"}