--- title: "Mistral: Mistral Medium 3.5 — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/mistralai__mistral-medium-3-5/ description: "Mistral: Mistral Medium 3.5: $1.50/M in, $7.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # Mistral: Mistral Medium 3.5 — price, capability and what beats it · Undominated.ai > Mistral: Mistral Medium 3.5: $1.50/M in, $7.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/mistralai__mistral-medium-3-5/) [Cheaper alternatives](/alternatives/mistralai__mistral-medium-3-5/) [Family](/families/mistral/) [Compare models](https://undominated.ai/compare/?models=mistralai%2Fmistral-medium-3-5) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. 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MODEL PROOF # Mistral Medium 3.5 Mistral · 30 Apr 2026 · proprietary Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$3.00** / 1M tokens Balanced · 3 tokens in per 1 out [Muse Spark 1.3](/models/meta__muse-spark-1.3/) · Δ score 68.7 points · 33% lower measured price · $2.00 / 1M tokens [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) is a further stored option with these losses: 210K → 131K max output, no file input Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://mistral.ai/pricing/api) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,421.2 ± 6.39 · 11,757 votes Context window 262.14K Maximum output 209.72K Input modalities text, image, file Output modalities text Published input price $1.50 / 1M tokens Published output price $7.50 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Mistral: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Every price dimension · USD per million tokens | Input | $1.50 /M | | --- | --- | | Output | $7.50 /M | | Cached input | Unknown /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 3 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Mistral mistral/zdr Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 209,715 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.77% | Input $1.50 | Output $7.50 | Precision undeclared | Uptime (1d) 99.93% | | Seller Mistral mistral Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 209,715 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $1.50 | Output $7.50 | Precision undeclared | Uptime (1d) 99.94% | | Seller Mistral mistral/eu Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 209,715 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $1.65 | Output $8.25 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores | LMArena Elo | 1421.2 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. ### Capability | Context window | 262K | | --- | --- | | Max output | 209K | | Input modes | text, image, file | | Tool use | yes | | Reasoning | optional | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | | Cross-checked | [vendor page](https://mistral.ai/pricing/api) | Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex... ## Questions this page answers What does Mistral Medium 3.5 cost? $1.50/M in, $7.50/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Mistral Medium 3.5 have an independent quality score? Mistral Medium 3.5 has an LMArena score in this catalogue. What beats Mistral Medium 3.5? Muse Spark 1.3 has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for Mistral Medium 3.5? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Mistral: Mistral Medium 3.5. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [Muse Spark 1.3](/models/meta__muse-spark-1.3/) - Higher score and cheaper, with a named trade [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) - Nearby on the capability axis [GPT-5.1](/models/openai__gpt-5.1/) - Same vendor [Mistral Large 2407](/models/mistralai__mistral-large-2407/) - Mistral models [Mistral](/providers/mistral/) - Where this model appears [significance](/significance/) - Nearby on the capability axis [Qwen3 VL 235B A22B Instruct](/models/qwen__qwen3-vl-235b-a22b-instruct/) - Same vendor [Mistral Small 3](/models/mistralai__mistral-small-24b-instruct-2501/) - Where this model appears [cheapest-at](/cheapest-at/) - Nearby on the capability axis [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/) - Same vendor [Codestral 2508](/models/mistralai__codestral-2508/) - Where this model appears [subscription vs API](/plans/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Mistral Medium 3.5 — Undominated.ai dominance verdict](https://undominated.ai/badge/mistralai__mistral-medium-3-5.svg)](https://undominated.ai/models/mistralai__mistral-medium-3-5/) HTML Copy Mistral Medium 3.5 — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/mistralai__mistral-medium-3-5.svg](https://undominated.ai/badge/mistralai__mistral-medium-3-5.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)