Mistral Small 3.1 24B vs Hy3 preview
Mistral Small 3.1 24B and Hy3 preview cost about the same per output token ($0.555 vs $0.60 per million). Updated October 22, 2026; 24 benchmarks have a result for both.
Mistral Small 3.1 24B or Hy3 preview: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 3.1 24B for output tokens 1.1x cheaper ($0.555 vs $0.60 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 24
- Mistral Small 3.1 24B only
- 14
- Hy3 preview only
- 12
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Hy3 preview has a AA Intelligence Index result, 25.3.
Directional only
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Long documents
Listed context window
Hy3 preview
Hy3 preview takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3 preview
Mistral Small 3.1 24B $0.0006, Hy3 preview $0.0005 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3.1 24B not benchmarked, Hy3 preview not benchmarked.
- Widest category
- Math, 27.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Mistral Small 3.1 24B 1253 against Hy3 preview 1435, 30.3 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 3.1 24B $0.555 against Hy3 preview $0.60 per million output tokens, 1.1x apart.
- Context window
- Mistral Small 3.1 24B takes 128K tokens, Hy3 preview 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 | Mistral Small 3.1 24B | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 13 | ||
| All shared boards | 0 | 24 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1357 | Only Hy3 preview measured |
| AA Coding Index | Not measured | 58.8 | Only Hy3 preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.1% | Only Hy3 preview measured |
| LMArena Text: coding | 1309 | 1421 | Hy3 preview |
| LMArena Text: software and IT | 1301 | 1423 | Hy3 preview |
| LMArena WebDev: React | Not measured | 1349 | Only Hy3 preview measured |
| LMArena WebDev: HTML | Not measured | 1356 | Only Hy3 preview measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 25.3 | Only Hy3 preview measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 24.1 | Only Hy3 preview measured |
| τ²-Bench Telecom | Not measured | 92.7% | Only Hy3 preview measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 86.7% | Only Hy3 preview measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 27.8% | Only Hy3 preview measured |
| LMArena Text: hard prompts | 1278 | 1413 | Hy3 preview |
| LMArena Text: expert | 1257 | 1422 | Hy3 preview |
| LMArena Text: hard prompts in English | 1290 | 1416 | Hy3 preview |
| LMArena Vision: diagrams | 1119 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: homework | 1158 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| LMArena Text: math | 1261 | 1424 | Hy3 preview |
| LMArena Text: mathematical work | 1271 | 1442 | Hy3 preview |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| LMArena Text: science | 1265 | 1416 | Hy3 preview |
| LMArena Text: medicine and healthcare | 1267 | 1405 | Hy3 preview |
| LMArena Text: legal and government | 1271 | 1430 | Hy3 preview |
| LMArena Text: business and finance | 1257 | 1397 | Hy3 preview |
| Neither model has a result on the other 14 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index013
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | Leader |
|---|---|---|---|
| IFBench | Not measured | 63.1% | Only Hy3 preview measured |
| Long context reasoning (AA-LCR) | Not measured | 64.7% | Only Hy3 preview measured |
| LMArena Text | 1277 | 1401 | Hy3 preview |
| LMArena Text: instruction following | 1263 | 1383 | Hy3 preview |
| LMArena Text: creative writing | 1252 | 1339 | Hy3 preview |
| LMArena Vision | 1136 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: English | 1295 | 1409 | Hy3 preview |
| LMArena Text: non-English | 1255 | 1390 | Hy3 preview |
| LMArena Text: Chinese | 1253 | 1435 | Hy3 preview |
| LMArena Text: German | 1266 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | 1208 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Korean | 1207 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: French | 1273 | 1425 | Hy3 preview |
| LMArena Text: Spanish | 1284 | 1399 | Hy3 preview |
| LMArena Text: Russian | 1263 | 1399 | Hy3 preview |
| LMArena Text: Polish | 1242 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: multi-turn | 1270 | 1411 | Hy3 preview |
| LMArena Text: longer queries | 1299 | 1402 | Hy3 preview |
| LMArena Text: writing and language | 1268 | 1370 | Hy3 preview |
| LMArena Text: entertainment and media | 1250 | 1352 | Hy3 preview |
| LMArena Vision: English | 1157 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: Chinese | 1155 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: reading text | 1132 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: humor | 1142 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: captioning | 1153 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: recognizing things | 1155 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision: creative writing | 1123 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.1 24B | Hy3 preview | 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
Hy3 preview costs less
Repository review
50K input + 3K output tokens
Hy3 preview costs less
Agent loop
200K input + 10K output tokens
Hy3 preview 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 | Mistral Small 3.1 24B | Tencent Hy3 preview |
|---|---|---|
| Maker | Mistral AI | Tencent |
| Weights | Open weights | Open weights |
| Released | March 17, 2025 | April 22, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.351 | $0.18 |
| Output $/Mtok | $0.555 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Small 3.1 24B better than Hy3 preview for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 1.1x cheaper ($0.555 vs $0.60 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Mistral Small 3.1 24B or Hy3 preview?
Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3.1 24B or Hy3 preview?
Hy3 preview, with 262K tokens against 128K.
How many benchmarks is the Mistral Small 3.1 24B vs Hy3 preview comparison based on?
24 benchmarks have a result for both models as of October 22, 2026. Mistral Small 3.1 24B's coding index rests on 0 independent benchmarks and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.