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1[2 {3 "id": "mistral-medium-2604",4 "displayName": "Mistral Medium 3.5",5 "family": "mistral-medium",6 "contextTokens": 262144,7 "maxOutputTokens": null,8 "capabilities": {9 "text": true,10 "vision": true,11 "audioInput": false,12 "audioOutput": false,13 "imageGeneration": false,14 "video": false,15 "reasoning": true,16 "tools": true,17 "structuredOutput": true,18 "streaming": true,19 "files": true,20 "webSearch": "conversations-api-only"21 },22 "parameters": {23 "temperature": true,24 "topP": true,25 "topK": false,26 "maxTokens": true,27 "reasoningEffort": ["none", "high"],28 "thinkingBudget": false,29 "stop": true,30 "seed": "random_seed",31 "frequencyPenalty": true,32 "presencePenalty": true33 },34 "pricing": {35 "inputPerMillion": 1.5,36 "cachedInputPerMillion": 0.15,37 "outputPerMillion": 7.538 },39 "status": "active",40 "aliases": [41 "mistral-medium-latest",42 "mistral-medium",43 "mistral-medium-3-5",44 "mistral-medium-3.5",45 "mistral-medium-3",46 "mistral-vibe-cli-latest",47 "mistral-vibe-cli-with-tools",48 "magistral-medium-latest"49 ],50 "notes": "Frontier hybrid-reasoning model (GA 2026-04-28, model card id mistral-medium-3-5-26-04, billing_model_name mistral-medium-3-5, default_model_temperature 1). Reasoning is OFF unless reasoning_effort:'high' is sent (probed: default returns a plain string, no thinking). Only 'none' and 'high' accepted; minimal/low/medium/xhigh/max -> 400 code 3051 'reasoning_effort X is not supported for this model, supported values: [high, none]'. Thinking comes back as content chunks [{type:'thinking', thinking:[{type:'text', text}], closed:true}, {type:'text', text}]; reasoning tokens are counted inside completion_tokens (no separate field). magistral-medium-latest is now just an alias of this model (native Magistral retired 2026-07-31). n=2 accepted. Hidden system prompt ~12 tokens. Rate limit observed on this key: 3000 req/min, 2M tokens/min. Document QnA (document_url) supported per model card."51 },52 {53 "id": "mistral-small-2603",54 "displayName": "Mistral Small 4",55 "family": "mistral-small",56 "contextTokens": 262144,57 "maxOutputTokens": null,58 "capabilities": {59 "text": true,60 "vision": true,61 "audioInput": false,62 "audioOutput": false,63 "imageGeneration": false,64 "video": false,65 "reasoning": true,66 "tools": true,67 "structuredOutput": true,68 "streaming": true,69 "files": true,70 "webSearch": "conversations-api-only"71 },72 "parameters": {73 "temperature": true,74 "topP": true,75 "topK": false,76 "maxTokens": true,77 "reasoningEffort": ["none", "high"],78 "thinkingBudget": false,79 "stop": true,80 "seed": "random_seed",81 "frequencyPenalty": true,82 "presencePenalty": true83 },84 "pricing": {85 "inputPerMillion": 0.15,86 "cachedInputPerMillion": 0.015,87 "outputPerMillion": 0.688 },89 "status": "active",90 "aliases": ["mistral-small-latest", "mistral-vibe-cli-fast", "magistral-small-latest"],91 "notes": "Best value hybrid-reasoning model (Apache 2.0, 'Mistral Small 4', default_model_temperature 0.3). Same reasoning contract as Medium 3.5: reasoning off by default, reasoning_effort 'high'|'none' only, thinking returned as content chunks. magistral-small-latest aliases here. Vision probed OK (32px PNG ~15 image tokens, 512x512 ~390 tokens). document_url PDF (base64 data URL and public URL) probed OK. json_schema strict + json_object probed OK. Tool calls arrive in ONE stream chunk with full arguments; 9-char alphanumeric ids. Rate limit observed: 2000 req/min, 2M tokens/min. prompt_mode:'reasoning' (legacy Magistral) -> 400 'Reasoning prompt mode is not enabled for this model'."92 },93 {94 "id": "mistral-large-2512",95 "displayName": "Mistral Large 3",96 "family": "mistral-large",97 "contextTokens": 262144,98 "maxOutputTokens": null,99 "capabilities": {100 "text": true,101 "vision": true,102 "audioInput": false,103 "audioOutput": false,104 "imageGeneration": false,105 "video": false,106 "reasoning": false,107 "tools": true,108 "structuredOutput": true,109 "streaming": true,110 "files": true,111 "webSearch": "conversations-api-only"112 },113 "parameters": {114 "temperature": true,115 "topP": true,116 "topK": false,117 "maxTokens": true,118 "reasoningEffort": false,119 "thinkingBudget": false,120 "stop": true,121 "seed": "random_seed",122 "frequencyPenalty": true,123 "presencePenalty": true124 },125 "pricing": {126 "inputPerMillion": 0.5,127 "cachedInputPerMillion": 0.05,128 "outputPerMillion": 1.5129 },130 "status": "active",131 "aliases": ["mistral-large-latest"],132 "notes": "Open-weight MoE (675B total / 41B active, Apache 2.0, released 2025-12-02, default_model_temperature 0.3). NOT a reasoning model: any reasoning_effort -> 400 'reasoning_effort is not enabled for this model'. The ONLY model that rejects n>1 (400 'Invalid value 2 for parameter `n`. Max allowed: 1.'). Cheaper than Medium 3.5 (0.5/1.5 vs 1.5/7.5). No hidden system prompt (prompt_tokens = raw). Fine-tunable. Rate limit observed on this key: only 75 req/min / 1M tokens/min (much lower than the other models). Retired slugs mistral-large-2407 resolve here (response.model = mistral-large-latest); mistral-large-2411 and pixtral-large-* return 400 invalid_model."133 },134 {135 "id": "ministral-14b-2512",136 "displayName": "Ministral 3 14B",137 "family": "ministral-3",138 "contextTokens": 262144,139 "maxOutputTokens": null,140 "capabilities": {141 "text": true,142 "vision": true,143 "audioInput": false,144 "audioOutput": false,145 "imageGeneration": false,146 "video": false,147 "reasoning": false,148 "tools": true,149 "structuredOutput": true,150 "streaming": true,151 "files": null,152 "webSearch": "conversations-api-only"153 },154 "parameters": {155 "temperature": true,156 "topP": true,157 "topK": false,158 "maxTokens": true,159 "reasoningEffort": false,160 "thinkingBudget": false,161 "stop": true,162 "seed": "random_seed",163 "frequencyPenalty": true,164 "presencePenalty": true165 },166 "pricing": {167 "inputPerMillion": 0.2,168 "cachedInputPerMillion": 0.02,169 "outputPerMillion": 0.2170 },171 "status": "active",172 "aliases": ["ministral-14b-latest"],173 "notes": "Edge model family v25.12 (Apache 2.0), text + vision, function calling, fine-tunable. Only a tiny chat probe was run on this size (200 OK); parameters assumed identical to ministral-8b (same family, same listing capabilities). Retired pixtral-12b-2409 is transparently served by ministral-14b-latest. Rate limit observed: 500 req/min, 3.8M tokens/min."174 },175 {176 "id": "ministral-8b-2512",177 "displayName": "Ministral 3 8B",178 "family": "ministral-3",179 "contextTokens": 262144,180 "maxOutputTokens": null,181 "capabilities": {182 "text": true,183 "vision": true,184 "audioInput": false,185 "audioOutput": false,186 "imageGeneration": false,187 "video": false,188 "reasoning": false,189 "tools": true,190 "structuredOutput": true,191 "streaming": true,192 "files": true,193 "webSearch": "conversations-api-only"194 },195 "parameters": {196 "temperature": true,197 "topP": true,198 "topK": false,199 "maxTokens": true,200 "reasoningEffort": false,201 "thinkingBudget": false,202 "stop": true,203 "seed": "random_seed",204 "frequencyPenalty": true,205 "presencePenalty": true206 },207 "pricing": {208 "inputPerMillion": 0.15,209 "cachedInputPerMillion": 0.015,210 "outputPerMillion": 0.15211 },212 "status": "active",213 "aliases": ["ministral-8b-latest"],214 "notes": "Fully probed: chat, streaming, tools (single-chunk tool call), json_schema strict, vision (32px PNG OK), document_url PDF OK, n=2 OK. reasoning_effort -> 400 'not enabled for this model'. Retired open-mistral-7b / ministral-8b-2410 / open-mistral-nemo slugs are served by this model. Rate limit observed: 3800 req/min, 2.5M tokens/min."215 },216 {217 "id": "ministral-3b-2512",218 "displayName": "Ministral 3 3B",219 "family": "ministral-3",220 "contextTokens": 131072,221 "maxOutputTokens": null,222 "capabilities": {223 "text": true,224 "vision": true,225 "audioInput": false,226 "audioOutput": false,227 "imageGeneration": false,228 "video": false,229 "reasoning": false,230 "tools": true,231 "structuredOutput": true,232 "streaming": true,233 "files": null,234 "webSearch": "conversations-api-only"235 },236 "parameters": {237 "temperature": true,238 "topP": true,239 "topK": false,240 "maxTokens": true,241 "reasoningEffort": false,242 "thinkingBudget": false,243 "stop": true,244 "seed": "random_seed",245 "frequencyPenalty": true,246 "presencePenalty": true247 },248 "pricing": {249 "inputPerMillion": 0.1,250 "cachedInputPerMillion": 0.01,251 "outputPerMillion": 0.1252 },253 "status": "active",254 "aliases": ["ministral-3b-latest"],255 "notes": "Smallest/cheapest (a.k.a. 'Tinystral'). 128k context (the only current chat model below 256k). Tiny chat probe OK; max_tokens 200000 (> context) accepted without error (generation just stops naturally). Parameters assumed identical to ministral-8b. Highest rate limit observed: 15000 req/min, 5M tokens/min."256 },257 {258 "id": "codestral-2508",259 "displayName": "Codestral 25.08",260 "family": "codestral",261 "contextTokens": 256000,262 "maxOutputTokens": null,263 "capabilities": {264 "text": true,265 "vision": false,266 "audioInput": false,267 "audioOutput": false,268 "imageGeneration": false,269 "video": false,270 "reasoning": false,271 "tools": true,272 "structuredOutput": true,273 "streaming": true,274 "files": true,275 "webSearch": false276 },277 "parameters": {278 "temperature": true,279 "topP": true,280 "topK": false,281 "maxTokens": true,282 "reasoningEffort": false,283 "thinkingBudget": false,284 "stop": true,285 "seed": "random_seed",286 "frequencyPenalty": true,287 "presencePenalty": true288 },289 "pricing": {290 "inputPerMillion": 0.3,291 "cachedInputPerMillion": 0.03,292 "outputPerMillion": 0.9293 },294 "status": "active",295 "aliases": ["codestral-latest", "mistral-code-latest", "mistral-code-fim-latest"],296 "notes": "Coding model (Premier, released 2025-07-30). The only model with completion_fim=true -> POST /v1/fim/completions {prompt, suffix} probed OK (FIM on any other model -> 400 'FIM is not enabled for this model'). Chat, streaming, tools, json_schema all probed OK. Image input -> 400 code 3051 'Image input is not enabled for this model'. Surprisingly document_url (base64 PDF) worked (server-side OCR). API max_context_length 256000 vs model card '128k' -> prefer the API value. mistral-code-latest / mistral-code-fim-latest are aliases (Mistral Code IDE product). Rate limit observed: 2500 req/min, 2.5M tokens/min."297 },298 {299 "id": "zai-glm-5-2",300 "displayName": "Z.ai GLM 5.2 (third-party, preview)",301 "family": "glm",302 "contextTokens": 1048576,303 "maxOutputTokens": 128000,304 "capabilities": {305 "text": true,306 "vision": false,307 "audioInput": false,308 "audioOutput": false,309 "imageGeneration": false,310 "video": false,311 "reasoning": true,312 "tools": true,313 "structuredOutput": true,314 "streaming": true,315 "files": null,316 "webSearch": "conversations-api-only"317 },318 "parameters": {319 "temperature": true,320 "topP": true,321 "topK": false,322 "maxTokens": true,323 "reasoningEffort": ["none", "minimal", "low", "medium", "high", "xhigh", "max"],324 "thinkingBudget": false,325 "stop": true,326 "seed": "random_seed",327 "frequencyPenalty": true,328 "presencePenalty": true329 },330 "pricing": {331 "inputPerMillion": 1.4,332 "cachedInputPerMillion": 0.14,333 "outputPerMillion": 4.4334 },335 "status": "preview",336 "aliases": ["glm-5-2"],337 "notes": "Third-party model hosted by Mistral 'without Mistral modifications' (Public Preview since 2026-08-06; third-party lifecycle = 1-month deprecation notice). 1M context, 128k max output (docs). Reasoning off by default; EVERY reasoning_effort value is accepted (probed none/minimal/low/medium/high/xhigh/max); 'none' and 'minimal' return a plain string (no thinking), low..max return the same thinking-chunk content shape as the Mistral hybrids. Differences from Mistral models (probed): tool-call ids look like 'chatcmpl-tool-<16 hex>' and arguments are streamed across SEVERAL chunks (standard OpenAI accumulation required); stream chunks carry delta.index and logprobs:null; usage lacks service_tier; default_model_temperature null. Image input -> 400 'Image input is not enabled'. n=2 accepted. Rate limit observed: 3000 req/min, 4M tokens/min. Data leaves the Mistral model family - flag it in the UI as third-party."338 },339 {340 "id": "voxtral-small-2507",341 "displayName": "Voxtral Small 24B",342 "family": "voxtral",343 "contextTokens": 32768,344 "maxOutputTokens": null,345 "capabilities": {346 "text": true,347 "vision": false,348 "audioInput": true,349 "audioOutput": false,350 "imageGeneration": false,351 "video": false,352 "reasoning": false,353 "tools": true,354 "structuredOutput": null,355 "streaming": true,356 "files": null,357 "webSearch": false358 },359 "parameters": {360 "temperature": true,361 "topP": true,362 "topK": false,363 "maxTokens": true,364 "reasoningEffort": false,365 "thinkingBudget": false,366 "stop": true,367 "seed": "random_seed",368 "frequencyPenalty": true,369 "presencePenalty": true370 },371 "pricing": {372 "inputPerMillion": 0.1,373 "cachedInputPerMillion": null,374 "outputPerMillion": 0.4375 },376 "status": "active",377 "aliases": ["voxtral-small-latest"],378 "notes": "Audio-understanding chat model (July 2025, Apache 2.0, default_model_temperature 0.2): accepts input_audio content parts in chat completions (docs; not probed - no audio sample) plus text. Only 32k context. Text-only chat probe OK. Listing capabilities show completion_chat + function_calling but audio:false (listing flag looks wrong vs docs). Docs pricing 0.1 in / 0.4 out per M tokens; audio priced per token via prompt_audio_seconds in usage (docs). Lowest rate limit observed: 1440 req/min, 500k tokens/min. Treat as a niche model, not a default chat choice."379 },380 {381 "id": "labs-leanstral-1-5",382 "displayName": "Leanstral 1.5 (Labs)",383 "family": "labs",384 "contextTokens": 262144,385 "maxOutputTokens": null,386 "capabilities": {387 "text": true,388 "vision": true,389 "audioInput": false,390 "audioOutput": false,391 "imageGeneration": false,392 "video": false,393 "reasoning": true,394 "tools": true,395 "structuredOutput": null,396 "streaming": null,397 "files": null,398 "webSearch": false399 },400 "parameters": {401 "temperature": null,402 "topP": null,403 "topK": false,404 "maxTokens": true,405 "reasoningEffort": null,406 "thinkingBudget": false,407 "stop": null,408 "seed": null,409 "frequencyPenalty": null,410 "presencePenalty": null411 },412 "pricing": {413 "inputPerMillion": 0,414 "cachedInputPerMillion": 0,415 "outputPerMillion": 0416 },417 "status": "labs-retiring-2026-09-30",418 "aliases": ["labs-leanstral-1-5-1"],419 "notes": "Experimental Lean 4 proof-engineering model derived from Mistral Small 4 (free while in Labs; retirement announced for 2026-09-30, 1-month Labs notice policy). Requests return 403 'Model labs-leanstral-1-5 is a Labs model. To use Labs models, an admin must enable them in your organization settings at https://admin.mistral.ai/plateforme/privacy.' unless the org opts in -> nothing else could be probed. Docs: 'We do not recommend using these models in production environments.' Do NOT list in PolyLLM by default; at most show it behind an 'experimental' flag with the 403 message mapped to a clear error."420 }421]422