Gemma 4 31B vs Mistral Large 4
Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 38.3 for Gemma 4 31B.
Pick Gemma 4 31B when output tokens cost 10.4x less, or when what matters is LiveBench research or LiveBench long agentic, where it leads.
- Shared results
- 50
- Gemma 4 31B only
- 18
- Mistral Large 4 only
- 31
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Mistral Large 4
Mistral Large 4 scores 55.3 against 38.3.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 14.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1258.
Directional only
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0004, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Gemma 4 31B 38.3 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
- Widest category
- Intelligence, 16.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Gemma 4 31B 1359 against Mistral Large 4 1559, 33.2 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Mistral Large 4 $4.18 per million output tokens, 10.4x apart.
- Context window
- Gemma 4 31B takes 262K tokens, Mistral Large 4 1.05M.
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 | Gemma 4 31B | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 2 | 1 | ||
| Reasoning | 3 | 4 | ||
| Math | 1 | 2 | ||
| Knowledge | 3 | 2 | ||
| Web design | 0 | 1 | ||
| General | 13 | 8 | ||
| All shared boards | 22 | 28 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 49.0% | 60.0% | Mistral Large 4 |
| LMArena WebDev | 1367 | 1543 | Mistral Large 4 |
| AA Coding Index | 43.4 | Not measured | Only Gemma 4 31B measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | Not measured | 78.4% | Only Mistral Large 4 measured |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | 45.5% | 54.2% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | Not measured | Only Gemma 4 31B measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 52.3% | Not measured | Only Gemma 4 31B measured |
| ALE-Bench | 925.5 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1459 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1463 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1359 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1380 | 1487 | Mistral Large 4 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 143.0 | 150.0 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | Not measured | Only Gemma 4 31B measured |
| LiveBench research | 44.4% | 28.1% | Gemma 4 31B |
| LiveBench browser | 4.0% | 8.0% | Mistral Large 4 |
| LiveBench long agentic | 13.3% | 11.8% | Gemma 4 31B |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | Not measured | 30.4% | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | Not measured | 31.7% | Only Mistral Large 4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| τ²-Bench Telecom | 65.5% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 68.3% | 83.9% | Mistral Large 4 |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | Not measured | Only Gemma 4 31B measured |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 75.8% | 88.1% | Mistral Large 4 |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1448 | 1444 | Gemma 4 31B |
| LMArena Text: expert | 1464 | 1444 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1442 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1310 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 73.3% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | Not measured | 10.0% | Only Mistral Large 4 measured |
| LMArena Text: math | 1463 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1465 | 1462 | Gemma 4 31B |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 52.6% | Not measured | Only Gemma 4 31B measured |
| MortgageTax (Vals AI) | 61.4% | Not measured | Only Gemma 4 31B measured |
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | 10.4% | 20.0% | Mistral Large 4 |
| LMArena Text: science | 1457 | 1448 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1433 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1425 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1258 | Only Mistral Large 4 measured |
| Design Arena: UI components | Not measured | 1275 | Only Mistral Large 4 measured |
| Design Arena: game dev | Not measured | 1226 | Only Mistral Large 4 measured |
| Design Arena: data viz | Not measured | 1274 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1253 | Only Mistral Large 4 measured |
| Design Arena: all code categories | Not measured | 1259 | Only Mistral Large 4 measured |
| Design Arena: SVG | Not measured | 1232 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1203 | Only Mistral Large 4 measured |
| LiveBench design | 58.4% | 65.6% | Mistral Large 4 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index138
| Benchmark | Gemma 4 31B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | 76.5% | Mistral Large 4 |
| SAGE (Vals AI) | 55.0% | Not measured | Only Gemma 4 31B measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| IFBench | 75.6% | Not measured | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 69.7% | 81.3% | Mistral Large 4 |
| DTBench | 82.7% | 88.2% | Mistral Large 4 |
| LMCA | 39.3% | 35.8% | Gemma 4 31B |
| Surface Evolver Bench | 30.6% | 28.1% | Gemma 4 31B |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1443 | 1431 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1422 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1363 | Gemma 4 31B |
| LMArena Vision | 1276 | 1272 | Gemma 4 31B |
| LMArena Text: English | 1451 | 1433 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1422 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1492 | Mistral Large 4 |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | 1436 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1442 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1460 | 1417 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | Not measured | Only Gemma 4 31B measured |
| LMArena Text: multi-turn | 1452 | 1435 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1428 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1386 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1378 | Gemma 4 31B |
| LMArena Vision: English | 1271 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1326 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: reading text | 1282 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1280 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | Not measured | Only Gemma 4 31B measured |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| 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 | Gemma 4 31B | Mistral Large 4 | 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
Gemma 4 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 | Google Gemma 4 31B | Mistral Large 4 |
|---|---|---|
| Maker | Mistral AI | |
| Weights | Open weights | No public weights listed |
| Released | April 2, 2026 | October 6, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.20 | $1.36 |
| Output $/Mtok | $0.40 | $4.18 |
| Coding index | 38.3 | 55.3 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 38.3 for Gemma 4 31B. Pick Gemma 4 31B when output tokens cost 10.4x less, or when what matters is LiveBench research or LiveBench long agentic, where it leads.
Which is cheaper, Gemma 4 31B or Mistral Large 4?
Gemma 4 31B costs $0.20 per million input tokens and $0.40 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 4 31B or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 262K.
How many benchmarks is the Gemma 4 31B vs Mistral Large 4 comparison based on?
50 benchmarks have a result for both models as of October 21, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.