Mistral Medium 3.5
Mistral AI’s Medium 3.5 release, with independently published reasoning and tool-use results.
Where it stands
Rank compares tracked models with a score. Published shows the source’s rank and field size, when available.
| Benchmark | Score | Rank | Published | Leader | Behind |
|---|---|---|---|---|---|
| Artificial Analysis Intelligence IndexArtificial Analysis | 14 | 42of 42 | no list read | Claude Opus 5.5 | 44 pts |
| Terminal-Bench 4.0Artificial Analysis | 0.00% | 40of 40 | no list read | Claude Sonnet 5.5 | 63.64 pts |
| SWE-bench (Verified)Vals AI | 66.40% | 23of 23 | 72of 88 | Claude Opus 5 | 30.60 pts |
| GPQA DiamondVals AI | 34.85% | 23of 23 | 134of 138 | Gemini 3.1 Pro | 60.60 pts |
| MMLU ProVals AI | 75.33% | 24of 24 | 111of 138 | Claude Fable 5.1 | 17.05 pts |
| Vibe Code Bench v1.1Vals AI | 2.89% | 38of 38 | 100of 106 | Claude Sonnet 5.5 | 89.50 pts |
| τ³-BankingArtificial Analysis | 15.05% | 30of 30 | no list read | Qwen3.8 Max | 36.29 pts |
| IFBenchArtificial Analysis | 68.78% | 7of 10 | no list read | Grok 4 20 0309 | 14.15 pts |
| AA-AnalystAgentArtificial Analysis | 12.50% | 17of 18 | no list read | Gemini 3.7 Flash | 47.50 pts |
| MLCR-AAArtificial Analysis | 1.67% | 36of 37 | no list read | Claude Sonnet 5.5 | 73.33 pts |
| τ²-Bench TelecomArtificial Analysis | 94.15% | 4of 10 | no list read | Jt 35b Flash | 4.97 pts |
| Harvey LAB-AAArtificial Analysis | 69.10% | 19of 20 | no list read | Muse Spark 1.3 Max | 26.38 pts |
| EnterpriseOps-Gym-AAArtificial Analysis | 33.72% | 20of 22 | no list read | Claude Fable 5 | 17.40 pts |
| AutomationBench-AAArtificial Analysis | 6.30% | 39of 40 | no list read | Gemini 4 Argon | 71.21 pts |
| SciCodeArtificial Analysis | 40.16% | 40of 40 | no list read | Claude Opus 5.5 | 26.74 pts |
| GDP.pdfArtificial Analysis | 2.80% | 40of 40 | no list read | GPT-6.1 Sol | 28.20 pts |
| CritPtArtificial Analysis | 0.00% | 42of 42 | no list read | GPT-5.6 Sol | 32.29 pts |
| AA-OmniscienceArtificial Analysis | -36.8 | 42of 42 | no list read | Claude Opus 5.5 | 83.22 |
| AA-LCR v1.1Artificial Analysis | 69.33% | 42of 42 | no list read | Kimi K3 | 19.34 pts |
| Terminal-Bench 2.1Vals AI | 38.95% | 35of 35 | 69of 75 | Claude Opus 5.5 | 48.69 pts |
| ProofBench v1.1Vals AI | 9.00% | 33of 34 | 42of 46 | Claude Sonnet 5.5 | 91.00 pts |
| Harvey's Legal Agent BenchmarkVals AI | 0.42% | 36of 37 | 54of 73 | Muse Spark 1.2 | 25.00 pts |
| Vals Multimodal IndexVals AI | 34.77% | 17of 17 | 33of 33 | Claude Fable 5 | 39.38 pts |
| Code MigrationVals AI | 5.13% | 37of 37 | 64of 71 | Claude Sonnet 5.5 | 64.70 pts |
| EMBVals AI | 11.19% | 37of 37 | 67of 69 | Claude Fable 5.1 | 65.48 pts |
| Finance Agent (v2)Vals AI | 32.10% | 37of 37 | 63of 73 | Gemini 4 Argon | 33.30 pts |
| Legal Research BenchVals AI | 9.13% | 37of 37 | 64of 72 | Muse Spark 1.3 Max | 46.16 pts |
| MedCodeVals AI | 33.75% | 35of 35 | 82of 104 | Claude Opus 5 | 29.82 pts |
| MedScribeVals AI | 67.73% | 36of 36 | 96of 106 | Claude Opus 5.5 | 23.70 pts |
| SAGEVals AI | 37.61% | 28of 32 | 64of 90 | Claude Opus 4.7 | 18.49 pts |
| Tax Agent BenchVals AI | 27.29% | 37of 37 | 59of 64 | Claude Fable 5.1 | 50.35 pts |
| GDPval-AA v2.1Artificial Analysis | 747.1 | 42of 42 | no list read | Claude Opus 5.5 | 1,099.07 |
| AA-Briefcase v1.1Artificial Analysis | 520.8 | 40of 41 | no list read | Claude Opus 5.5 | 1,301.05 |
| Humanity's Last ExamArtificial Analysis | 13.76% | 42of 42 | no list read | Claude Opus 5.5 | 47.59 pts |
Nearby on Artificial Analysis Intelligence Index
The two models above and below on the Artificial Analysis Intelligence Index (Artificial Analysis), on every column where this model has a published number.
| Model | Artificial Analysis Intelligence Index | Terminal-Bench 4.0 | SWE-bench | GPQA Diamond | MMLU Pro | Vibe Code Bench v1.1 |
|---|---|---|---|---|---|---|
| MiniMax M3MiniMax | 29 | 2.02% | 75.00% | 92.68% | 84.22% | 47.57% |
| InklingThinking Machines | 25 | 1.01% | 77.60% | 87.12% | 86.30% | 19.21% |
| Mistral Medium 3.5Mistral AI | 14 | 0.00% | 66.40% | 34.85% | 75.33% | 2.89% |
What the hosted runtime reports
Ollama serves its own copy of this model, so its context cap and its prices are the ones a caller actually gets. Read 25 September 2026.
- Parameters
- 128B dense parameters
- Hosted context
- 256K tokensthe model itself is published at 262k tokens
Runs locally from an 80GB download rather than through a hosted endpoint, so there is no per-token price; Mistral releases the weights under a modified MIT licence.
Results by benchmark
Independent and vendor results retain their own harnesses and effort settings.
| Benchmark | Independent run | As reported by a publisher |
|---|---|---|
| τ³-BankingTool use | 15.05%Artificial Analysis | not published |
| IFBenchInstruction following | 68.78%Artificial Analysis | not published |
| AA-AnalystAgentData analysis | 12.50%Artificial Analysis | not published |
| MLCR-AAMedical reasoning | 1.67%Artificial Analysis | not published |
| τ²-Bench TelecomTool use | 94.15%Artificial Analysis | not published |
| Harvey LAB-AALegal reasoning | 69.10%Artificial Analysis | not published |
| EnterpriseOps-Gym-AAEnterprise workflows | 33.72%Artificial Analysis | not published |
| AutomationBench-AAWorkflow automation | 6.30%Artificial Analysis | not published |
| SciCodeScientific coding | 40.16%Artificial Analysis | not published |
| GDP.pdfDocument reasoning | 2.80%Artificial Analysis | not published |
| CritPtScientific reasoning | 0.00%Artificial Analysis | not published |
| AA-OmniscienceFactual knowledge | -36.8Artificial Analysis | not published |
| AA-LCR v1.1Long-context reasoning | 69.33%Artificial Analysis | not published |
| Terminal-Bench 4.0Agentic coding | 0.00%Artificial Analysis | not published |
| Terminal-Bench 2.1Agentic coding | 38.95%Vals AI 50.56%Artificial Analysis | not published |
| SWE-bench (Verified)Software engineering | 66.40%Vals AI | not published |
| GPQA DiamondScience reasoning | 34.85%Vals AI 74.85%Artificial Analysis | not published |
| MMLU ProKnowledge | 75.33%Vals AI | not published |
| MMMU ProMultimodal reasoning | 64.86%Artificial Analysis | not published |
| Vibe Code Bench v1.1Product coding | 2.89%Vals AI | not published |
| ProofBench v1.1Mathematics | 9.00%Vals AI | not published |
| Harvey's Legal Agent BenchmarkProfessional knowledge | 0.42%Vals AI | not published |
| Vals Multimodal IndexComposite | 34.77%Vals AI | not published |
| Code MigrationAgentic coding | 5.13%Vals AI | not published |
| EMBFinancial modelling | 11.19%Vals AI | not published |
| Finance Agent (v2)Financial analysis | 32.10%Vals AI | not published |
| Legal Research BenchProfessional knowledge | 9.13%Vals AI | not published |
| MedCodeHealthcare administration | 33.75%Vals AI | not published |
| MedScribeHealthcare administration | 67.73%Vals AI | not published |
| SAGEEducation | 37.61%Vals AI | not published |
| Tax Agent BenchProfessional knowledge | 27.29%Vals AI | not published |
| GDPval-AA v2.1Knowledge work | 747.1Artificial Analysis | not published |
| AA-Briefcase v1.1Knowledge work | 520.8Artificial Analysis | not published |
| Humanity's Last ExamMultidisciplinary reasoning | 13.76%Artificial Analysis | not published |
| Artificial Analysis Intelligence IndexComposite | 14Artificial Analysis | not published |
Sources
Read on 17 October 2026.
- Vals AI model pagewww.vals.ai/models/mistralai_mistral-medium-3.5
- Ollama model pageollama.com/library/mistral-medium-3.5