Llama 4 Maverick vs Mistral Medium 3.5
Mistral Medium 3.5 leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 14.2 to 9.3, and Llama 4 Maverick costs 7.5x less per output token ($1.00 vs $7.50 per million). Updated October 22, 2026; 64 benchmarks have a result for both.
Llama 4 Maverick or Mistral Medium 3.5: which to pick
Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.
Pick Llama 4 Maverick for output tokens 7.5x cheaper ($1.00 vs $7.50 per million) and a lower cost per solved task ($1.491 against $6.02).
- Shared results
- 64
- Llama 4 Maverick only
- 21
- Mistral Medium 3.5 only
- 17
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Mistral Medium 3.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Mistral Medium 3.5
Mistral Medium 3.5 leads, 14.2 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Mistral Medium 3.5
Mistral Medium 3.5 leads, 7.0 against 0.6.
Same board, both measured
Reasoning
GPQA Diamond
Llama 4 Maverick
Llama 4 Maverick leads, 69.4% against 34.9%.
Same board, both measured
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
Llama 4 Maverick
Llama 4 Maverick leads, 79.4% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Mistral Medium 3.5
Mistral Medium 3.5 leads, 1142 against 871.
Same board, both measured
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Maverick
Llama 4 Maverick $0.0008, Mistral Medium 3.5 $0.0053 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Llama 4 Maverick
Llama 4 Maverick $1.491, Mistral Medium 3.5 $6.02.
Published attempt cost and pass rate
At a glance
- Coding index
- Llama 4 Maverick not benchmarked, Mistral Medium 3.5 25.5 from 3 benchmarks.
- Widest category
- Agentic work, 41.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Llama 4 Maverick 17.8% against Mistral Medium 3.5 94.2%, 76.3 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $1.00 against Mistral Medium 3.5 $7.50 per million output tokens, 7.5x apart.
- Context window
- Llama 4 Maverick takes 524K tokens, Mistral Medium 3.5 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Llama 4 Maverick | Bars | Mistral Medium 3.5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 2 | 7 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 6 | ||
| Web design | 0 | 6 | ||
| General | 0 | 28 | ||
| All shared boards | 5 | 59 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Aider polyglot | 15.6% | Not measured | Only Llama 4 Maverick measured |
| SWE-bench Verified | 21.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena WebDev | Not measured | 1264 | Only Mistral Medium 3.5 measured |
| AA Coding Index | 16.3 | 46.9 | Mistral Medium 3.5 |
| LiveCodeBench (Vals AI) | 47.3% | Not measured | Only Llama 4 Maverick measured |
| SWE-bench Verified (Vals AI) | Not measured | 66.4% | Only Mistral Medium 3.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 2.9% | Only Mistral Medium 3.5 measured |
| Code migration (Vals AI) | Not measured | 5.1% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 39.0% | Only Mistral Medium 3.5 measured |
| LiveCodeBench (Artificial Analysis run) | 39.7% | Not measured | Only Llama 4 Maverick measured |
| SciCode | 31.7% | 40.2% | Mistral Medium 3.5 |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 33.3% | Mistral Medium 3.5 |
| WeirdML | 24.5% | Not measured | Only Llama 4 Maverick measured |
| ALE-Bench | 173.0 | 764.0 | Mistral Medium 3.5 |
| LMArena Text: coding | 1301 | 1460 | Mistral Medium 3.5 |
| LMArena Text: software and IT | 1299 | 1458 | Mistral Medium 3.5 |
| LMArena WebDev: React | Not measured | 1254 | Only Mistral Medium 3.5 measured |
| LMArena WebDev: HTML | Not measured | 1308 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 14.2 | Mistral Medium 3.5 |
| Epoch Capabilities Index | 132.2 | 141.4 | Mistral Medium 3.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | 7.0 | Mistral Medium 3.5 |
| Finance Agent (Vals AI) | Not measured | 32.1% | Only Mistral Medium 3.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 4.5% | Only Mistral Medium 3.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only Mistral Medium 3.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 11.2% | Only Mistral Medium 3.5 measured |
| τ²-Bench Telecom | 17.8% | 94.2% | Mistral Medium 3.5 |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 69.4% | 34.9% | Llama 4 Maverick |
| MMMU Pro (Vals AI) | 71.7% | Not measured | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 67.1% | 74.8% | Mistral Medium 3.5 |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | 13.8% | Mistral Medium 3.5 |
| ARC-AGI | 4.4% | Not measured | Only Llama 4 Maverick measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Maverick measured |
| SimpleBench | 27.7% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts | 1281 | 1436 | Mistral Medium 3.5 |
| LMArena Text: expert | 1259 | 1432 | Mistral Medium 3.5 |
| LMArena Text: hard prompts in English | 1295 | 1445 | Mistral Medium 3.5 |
| LMArena Vision: diagrams | 1134 | 1254 | Mistral Medium 3.5 |
| LMArena Vision: homework | 1164 | 1230 | Mistral Medium 3.5 |
| Kagi LLM Benchmark | 55.9% | 41.4% | Llama 4 Maverick |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AIME | 25.2% | Not measured | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | 85.2% | Not measured | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | 92.4% | Not measured | Only Llama 4 Maverick measured |
| AA Math Index | 19.3 | Not measured | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | 19.3% | Not measured | Only Llama 4 Maverick measured |
| ProofBench | Not measured | 9.0% | Only Mistral Medium 3.5 measured |
| LMArena Text: math | 1299 | 1431 | Mistral Medium 3.5 |
| LMArena Text: mathematical work | 1295 | 1440 | Mistral Medium 3.5 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | 75.3% | Llama 4 Maverick |
| LegalBench (Vals AI) | 77.8% | Not measured | Only Llama 4 Maverick measured |
| CaseLaw (Vals AI) | Not measured | 44.2% | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | 49.7% | 58.8% | Mistral Medium 3.5 |
| TaxEval (Vals AI) | 66.6% | 68.0% | Mistral Medium 3.5 |
| MortgageTax (Vals AI) | 58.5% | 28.9% | Llama 4 Maverick |
| MedQA (Vals AI) | 43.3% | Not measured | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | 36.5% | 33.8% | Llama 4 Maverick |
| MMLU Pro (Artificial Analysis run) | 80.9% | Not measured | Only Llama 4 Maverick measured |
| GeoBench | 52.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: science | 1288 | 1428 | Mistral Medium 3.5 |
| LMArena Text: medicine and healthcare | 1275 | 1409 | Mistral Medium 3.5 |
| LMArena Text: legal and government | 1286 | 1437 | Mistral Medium 3.5 |
| LMArena Text: business and finance | 1260 | 1426 | Mistral Medium 3.5 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | 1142 | Mistral Medium 3.5 |
| Design Arena: UI components | 896 | 1076 | Mistral Medium 3.5 |
| Design Arena: game dev | 837 | 1079 | Mistral Medium 3.5 |
| Design Arena: data viz | 882 | 1120 | Mistral Medium 3.5 |
| Design Arena: 3D | 900 | 1060 | Mistral Medium 3.5 |
| Design Arena: all code categories | 879 | 1121 | Mistral Medium 3.5 |
| Design Arena: SVG | Not measured | 949 | Only Mistral Medium 3.5 measured |
| Design Arena: ASCII art | Not measured | 1062 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 35.7% | 37.6% | Mistral Medium 3.5 |
| MedScribe (Vals AI) | 54.2% | 67.7% | Mistral Medium 3.5 |
| Vals Multimodal Index | Not measured | 34.8% | Only Mistral Medium 3.5 measured |
| IFBench | 43.0% | 68.8% | Mistral Medium 3.5 |
| Long context reasoning (AA-LCR) | 50.0% | 69.3% | Mistral Medium 3.5 |
| DTBench | 61.9% | 75.5% | Mistral Medium 3.5 |
| LMCA | 15.9% | 26.1% | Mistral Medium 3.5 |
| Fiction.LiveBench | 46.2% | Not measured | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | 62.0% | Not measured | Only Llama 4 Maverick measured |
| Surface Evolver Bench | Not measured | 26.9% | Only Mistral Medium 3.5 measured |
| LMArena Text | 1287 | 1421 | Mistral Medium 3.5 |
| LMArena Text: instruction following | 1267 | 1415 | Mistral Medium 3.5 |
| LMArena Text: creative writing | 1266 | 1374 | Mistral Medium 3.5 |
| LMArena Vision | 1142 | 1222 | Mistral Medium 3.5 |
| LMArena Text: English | 1303 | 1433 | Mistral Medium 3.5 |
| LMArena Text: non-English | 1269 | 1404 | Mistral Medium 3.5 |
| LMArena Text: Chinese | 1277 | 1444 | Mistral Medium 3.5 |
| LMArena Text: German | 1291 | 1453 | Mistral Medium 3.5 |
| LMArena Text: Japanese | 1206 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Korean | 1203 | 1384 | Mistral Medium 3.5 |
| LMArena Text: French | 1259 | 1448 | Mistral Medium 3.5 |
| LMArena Text: Spanish | 1293 | 1411 | Mistral Medium 3.5 |
| LMArena Text: Russian | 1286 | 1395 | Mistral Medium 3.5 |
| LMArena Text: Polish | 1275 | 1430 | Mistral Medium 3.5 |
| LMArena Text: multi-turn | 1289 | 1423 | Mistral Medium 3.5 |
| LMArena Text: longer queries | 1280 | 1415 | Mistral Medium 3.5 |
| LMArena Text: writing and language | 1277 | 1384 | Mistral Medium 3.5 |
| LMArena Text: entertainment and media | 1250 | 1382 | Mistral Medium 3.5 |
| LMArena Vision: English | 1150 | 1240 | Mistral Medium 3.5 |
| LMArena Vision: Chinese | 1141 | 1244 | Mistral Medium 3.5 |
| LMArena Vision: reading text | 1143 | 1233 | Mistral Medium 3.5 |
| LMArena Vision: humor | 1100 | 1216 | Mistral Medium 3.5 |
| LMArena Vision: creative writing | 1099 | 1198 | Mistral Medium 3.5 |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Maverick | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Llama 4 Maverick costs less
Repository review
50K input + 3K output tokens
Llama 4 Maverick costs less
Agent loop
200K input + 10K output tokens
Llama 4 Maverick costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Meta Llama 4 Maverick | Mistral Medium 3.5 |
|---|---|---|
| Maker | Meta Llama | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | April 30, 2026 |
| Context window | 524K | 262K |
| Input $/Mtok | $0.35 | $1.50 |
| Output $/Mtok | $1.00 | $7.50 |
| Coding index | Not benchmarked | 25.5 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | $1.491 | $6.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick better than Mistral Medium 3.5 for coding?
Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 7.5x cheaper ($1.00 vs $7.50 per million) and a lower cost per solved task ($1.491 against $6.02).
Which is cheaper, Llama 4 Maverick or Mistral Medium 3.5?
Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Llama 4 Maverick costs $1.491 and Mistral Medium 3.5 $6.02.
Which has the bigger context window, Llama 4 Maverick or Mistral Medium 3.5?
Llama 4 Maverick, with 524K tokens against 262K.
How many benchmarks is the Llama 4 Maverick vs Mistral Medium 3.5 comparison based on?
64 benchmarks have a result for both models as of October 22, 2026. Llama 4 Maverick's coding index rests on 0 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.