Mistral AI model product
5 is Mistral AI's first flagship merged model: a dense 128B-parameter multimodal model with a 256k context window that unifies instruction-following, reasoning, and coding capabilities in a single set of weights.
Updated Aug 12, 2026. Default version: Mistral Medium 3.5
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Mistral Medium 3.5.
| Tau3 Airline | 72.0% | 01 | 1 | 100.0% | C | |
| Tau3 Retail | 76.1% | 01 | 1 | 100.0% | C | |
| Tau3 Telecom | 91.4% | 01 | 1 | 100.0% | C | |
| Tau3 Banking | 13.4% | 03 | 3 | 0.0% | C | |
| Beyond AIME | 66.9% | 04 | 5 | 25.0% | C | |
| COLLIE | 95.8% | 04 | 10 | 66.7% | C | |
| IFBench | 69.0% | 21 | 29 | 28.6% | C | |
| Finance Agent v2 | 32.1% | 22 | 26 | 16.0% | B | |
| SWE-Bench Verified | 77.6% | 24 | 105 | 77.9% | C | |
| BrowseComp | 48.6% | 46 | 58 | 21.1% | C | |
| AIME 2025 | 86.3% | 59 | 114 | 48.7% | C |
Preference and agent-evaluation results for the default version.
| agent bash recovery steps | overall | 31 | -0.0 | N/A | 4.9K | |
| agent praise complaint | overall | 35 | -0.1 | N/A | 868 | |
| agent | overall | 38 | -0.1 | N/A | 136.8K | |
| agent task outcome explicit | overall | 41 | -0.1 | N/A | 2.7K | |
| agent steerability | overall | 43 | -0.1 | N/A | 3.5K | |
| agent tool hallucination | overall | 44 | -0.0 | N/A | 125K | |
| vision | overall | 64 | 1221.2 | 5,110 | N/A | |
| vision style control | overall | 73 | 1198.2 | 5,110 | N/A | |
| text | overall | 84 | 1425.0 | 94,077 | N/A | |
| vision | overall | 87 | 1172.1 | 41,623 | N/A | |
| text | overall | 93 | 1420.8 | 11,025 | N/A | |
| text factuality | overall | 93 | 1430.5 | 10,966 | N/A | |
| vision style control | overall | 93 | 1158.7 | 41,623 | N/A | |
| text style control | overall | 94 | 1426.9 | 11,025 | N/A | |
| webdev | overall | 95 | 1265.8 | 2,153 | N/A | |
| text factuality | overall | 97 | 1429.0 | 66,986 | N/A | |
| text style control | overall | 129 | 1409.0 | 94,077 | N/A |
Provider-specific output speed and catalog latency for Mistral Medium 3.5. Runtime does not affect the capability score.
| Mistral AI | 46.385 tok/s | 0.411 s | 256K | 256K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Mistral | mistral-medium-2604 | global | $1.5 | $7.5 | 262.1K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Mistral Medium 3.5 | 49.2 | 128B | 262.1K | 262.1K | Yes | Modified MIT License |
Key information about Mistral Medium 3.5 and its available data.
5 is Mistral AI's first flagship merged model: a dense 128B-parameter multimodal model with a 256k context window that unifies instruction-following, reasoning, and coding capabilities in a single set of weights. 1 and Magistral in Le Chat, and Devstral 2 in the Vibe coding agent.
Reasoning effort is configurable per request, and the vision encoder was trained from scratch to handle variable image sizes and aspect ratios. Released as open weights under a Modified MIT License.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about Mistral Medium 3.5.
Mistral Medium 3.5's default version was released on Apr 29, 2026.
Mistral Medium 3.5's official API price is $1.5 per million input tokens and $7.5 per million output tokens via Mistral.
Mistral Medium 3.5 was created by Mistral AI.
The default version has a 262.1K token context window.
Yes. The default version is marked as open weight under Modified MIT License.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include GPT-5, GPT-5.1-Codex, GLM 4.5.