Gemma 4 31B vs Mistral Small 3.1 24B
Gemma 4 31B costs 1.4x less per output token than Mistral Small 3.1 24B ($0.40 vs $0.555 per million). Updated October 21, 2026; 35 benchmarks have a result for both.
Gemma 4 31B or Mistral Small 3.1 24B: which to pick
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 35
- Gemma 4 31B only
- 36
- Mistral Small 3.1 24B only
- 3
- Like-for-like categories
- 5 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 Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemma 4 31B has a AA Intelligence Index result, 14.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
Directional only
Long documents
Listed context window
Gemma 4 31B
Gemma 4 31B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0003, Mistral Small 3.1 24B $0.0006 per turn.
List prices
At a glance
- Coding index
- Gemma 4 31B 39.0 from 2 benchmarks, Mistral Small 3.1 24B not benchmarked.
- Widest category
- Math, 33.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Gemma 4 31B 1475 against Mistral Small 3.1 24B 1253, 37.1 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Mistral Small 3.1 24B $0.555 per million output tokens, 1.4x apart.
- Context window
- Gemma 4 31B takes 262K tokens, Mistral Small 3.1 24B 128K.
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 Small 3.1 24B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 22 | 0 | ||
| All shared boards | 35 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LiveBench coding | 49.0% | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev | 1367 | Not measured | Only Gemma 4 31B measured |
| AA Coding Index | 43.4 | Not measured | Only Gemma 4 31B measured |
| SciCode | 45.5% | Not measured | Only Gemma 4 31B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | Not measured | Only Gemma 4 31B measured |
| WeirdML | 52.3% | Not measured | Only Gemma 4 31B measured |
| ALE-Bench | 925.5 | Not measured | Only Gemma 4 31B measured |
| LMArena Text: coding | 1459 | 1309 | Gemma 4 31B |
| LMArena Text: software and IT | 1463 | 1301 | Gemma 4 31B |
| LMArena WebDev: React | 1359 | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | 1380 | Not measured | Only Gemma 4 31B measured |
| SciCode | 8.9% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | Not measured | Only Gemma 4 31B measured |
| Epoch Capabilities Index | 143.0 | Not measured | Only Gemma 4 31B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | Not measured | Only Gemma 4 31B measured |
| LiveBench research | 44.4% | Not measured | Only Gemma 4 31B measured |
| LiveBench browser | 4.0% | Not measured | Only Gemma 4 31B measured |
| LiveBench long agentic | 13.3% | Not measured | Only Gemma 4 31B measured |
| τ²-Bench Telecom | 65.5% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LiveBench reasoning | 68.3% | Not measured | Only Gemma 4 31B measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | Not measured | Only Gemma 4 31B measured |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | Not measured | Only Gemma 4 31B measured |
| GPQA Diamond (Epoch AI run) | 75.8% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: hard prompts | 1448 | 1278 | Gemma 4 31B |
| LMArena Text: expert | 1464 | 1257 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1290 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | 1119 | Gemma 4 31B |
| LMArena Vision: homework | 1310 | 1158 | Gemma 4 31B |
| Kagi LLM Benchmark | 63.5% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 73.3% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: math | 1463 | 1261 | Gemma 4 31B |
| LMArena Text: mathematical work | 1465 | 1271 | Gemma 4 31B |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | 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 |
| SimpleQA Verified | 10.4% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: science | 1457 | 1265 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1267 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1271 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1257 | Gemma 4 31B |
| FACTS Benchmark Suite | 45.3% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LiveBench design | 58.4% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Gemma 4 31B | Mistral Small 3.1 24B | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | Not measured | Only Gemma 4 31B measured |
| SAGE (Vals AI) | 55.0% | Not measured | Only Gemma 4 31B measured |
| IFBench | 75.6% | Not measured | Only Gemma 4 31B measured |
| Long context reasoning (AA-LCR) | 69.7% | Not measured | Only Gemma 4 31B measured |
| DTBench | 82.7% | Not measured | Only Gemma 4 31B measured |
| LMCA | 39.3% | Not measured | Only Gemma 4 31B measured |
| Surface Evolver Bench | 30.6% | Not measured | Only Gemma 4 31B measured |
| LMArena Text | 1443 | 1277 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1263 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1252 | Gemma 4 31B |
| LMArena Vision | 1276 | 1136 | Gemma 4 31B |
| LMArena Text: English | 1451 | 1295 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1255 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1253 | Gemma 4 31B |
| LMArena Text: German | Not measured | 1266 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | Not measured | 1208 | Only Mistral Small 3.1 24B measured |
| LMArena Text: Korean | Not measured | 1207 | Only Mistral Small 3.1 24B measured |
| LMArena Text: French | 1436 | 1273 | Gemma 4 31B |
| LMArena Text: Spanish | 1442 | 1284 | Gemma 4 31B |
| LMArena Text: Russian | 1460 | 1263 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | 1242 | Gemma 4 31B |
| LMArena Text: multi-turn | 1452 | 1270 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1299 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1268 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1250 | Gemma 4 31B |
| LMArena Vision: English | 1271 | 1157 | Gemma 4 31B |
| LMArena Vision: Chinese | 1326 | 1155 | Gemma 4 31B |
| LMArena Vision: reading text | 1282 | 1132 | Gemma 4 31B |
| LMArena Vision: humor | 1280 | 1142 | Gemma 4 31B |
| LMArena Vision: captioning | 1218 | 1153 | Gemma 4 31B |
| LMArena Vision: recognizing things | 1226 | 1155 | Gemma 4 31B |
| LMArena Vision: creative writing | 1285 | 1123 | Gemma 4 31B |
| 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 Small 3.1 24B | 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 Small 3.1 24B |
|---|---|---|
| Maker | Mistral AI | |
| Weights | Open weights | Open weights |
| Released | April 2, 2026 | March 17, 2025 |
| Context window | 262K | 128K |
| Input $/Mtok | $0.14 | $0.351 |
| Output $/Mtok | $0.40 | $0.555 |
| Coding index | 39.0 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Mistral Small 3.1 24B for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Gemma 4 31B or Mistral Small 3.1 24B?
Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 4 31B or Mistral Small 3.1 24B?
Gemma 4 31B, with 262K tokens against 128K.
How many benchmarks is the Gemma 4 31B vs Mistral Small 3.1 24B comparison based on?
35 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 Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.