Mistral Large vs Hy3 preview
Updated October 21, 2026. 27 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Mistral Large has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 27
- Mistral Large only
- 17
- Hy3 preview only
- 9
- Like-for-like categories
- 6 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, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Hy3 preview
Hy3 preview leads, 25.3 against 5.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Hy3 preview has a AA Agentic Index result, 24.1.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Large has a GPQA Diamond result, 47.7%.
Directional only
Math
AIME
No call
Only Mistral Large has a AIME result, 9.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Large has a MMLU Pro result, 69.7%.
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 Large $0.0050, Hy3 preview $0.0005 per turn.
List prices
At a glance
- Coding index
- Mistral Large not benchmarked, Hy3 preview not benchmarked.
- Widest category
- Reasoning, 32.5 points apart on average over 5 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Mistral Large 35.1% against Hy3 preview 86.7%, 51.6 points apart on a 0 to 100 scale.
- Output price
- Mistral Large $6.00 against Hy3 preview $0.60 per million output tokens, 10.0x apart.
- Context window
- Mistral Large 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 Large | Bars | Hy3 preview | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 13 | ||
| All shared boards | 0 | 27 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Mistral Large | Hy3 preview | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1357 | Only Hy3 preview measured |
| AA Coding Index | Not measured | 58.8 | Only Hy3 preview measured |
| LiveCodeBench (Vals AI) | 37.1% | Not measured | Only Mistral Large measured |
| LiveCodeBench (Artificial Analysis run) | 17.8% | Not measured | Only Mistral Large measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.1% | Only Hy3 preview measured |
| LMArena Text: coding | 1275 | 1421 | Hy3 preview |
| LMArena Text: software and IT | 1274 | 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 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large | Hy3 preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.8 | 25.3 | Hy3 preview |
| Epoch Capabilities Index | 122.1 | Not measured | Only Mistral Large measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Large | 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 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Large | Hy3 preview | Leader |
|---|---|---|---|
| GPQA Diamond | 47.7% | Not measured | Only Mistral Large measured |
| GPQA Diamond (Artificial Analysis run) | 35.1% | 86.7% | Hy3 preview |
| Humanity's Last Exam (Artificial Analysis run) | 3.5% | 27.8% | Hy3 preview |
| LMArena Text: hard prompts | 1257 | 1413 | Hy3 preview |
| LMArena Text: expert | 1208 | 1422 | Hy3 preview |
| LMArena Text: hard prompts in English | 1268 | 1416 | Hy3 preview |
| 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 Large | Hy3 preview | Leader |
|---|---|---|---|
| AIME | 9.2% | Not measured | Only Mistral Large measured |
| MATH 500 (Vals AI) | 74.4% | Not measured | Only Mistral Large measured |
| MGSM (Vals AI) | 87.2% | Not measured | Only Mistral Large measured |
| LMArena Text: math | 1261 | 1424 | Hy3 preview |
| LMArena Text: mathematical work | 1257 | 1442 | Hy3 preview |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Large | Hy3 preview | Leader |
|---|---|---|---|
| MMLU Pro | 69.7% | Not measured | Only Mistral Large measured |
| TaxEval (Vals AI) | 63.8% | Not measured | Only Mistral Large measured |
| MedQA (Vals AI) | 76.2% | Not measured | Only Mistral Large measured |
| MMLU Pro (Artificial Analysis run) | 51.5% | Not measured | Only Mistral Large measured |
| MMLU | 68.8% | Not measured | Only Mistral Large measured |
| LMArena Text: science | 1260 | 1416 | Hy3 preview |
| LMArena Text: medicine and healthcare | 1255 | 1405 | Hy3 preview |
| LMArena Text: legal and government | 1275 | 1430 | Hy3 preview |
| LMArena Text: business and finance | 1238 | 1397 | Hy3 preview |
| Neither model has a result on the other 8 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large | 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 Large | 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 |
| DTBench | 60.8% | Not measured | Only Mistral Large measured |
| LMArena Text | 1265 | 1401 | Hy3 preview |
| LMArena Text: instruction following | 1249 | 1383 | Hy3 preview |
| LMArena Text: creative writing | 1242 | 1339 | Hy3 preview |
| LMArena Text: English | 1284 | 1409 | Hy3 preview |
| LMArena Text: non-English | 1235 | 1390 | Hy3 preview |
| LMArena Text: Chinese | 1239 | 1435 | Hy3 preview |
| LMArena Text: German | 1242 | Not measured | Only Mistral Large measured |
| LMArena Text: Japanese | 1170 | Not measured | Only Mistral Large measured |
| LMArena Text: Korean | 1202 | Not measured | Only Mistral Large measured |
| LMArena Text: French | 1325 | 1425 | Hy3 preview |
| LMArena Text: Spanish | 1268 | 1399 | Hy3 preview |
| LMArena Text: Russian | 1252 | 1399 | Hy3 preview |
| LMArena Text: Polish | 1157 | Not measured | Only Mistral Large measured |
| LMArena Text: multi-turn | 1260 | 1411 | Hy3 preview |
| LMArena Text: longer queries | 1261 | 1402 | Hy3 preview |
| LMArena Text: writing and language | 1261 | 1370 | Hy3 preview |
| LMArena Text: entertainment and media | 1230 | 1352 | Hy3 preview |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large | 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 Large | Tencent Hy3 preview |
|---|---|---|
| Maker | Mistral AI | Tencent |
| Weights | No public weights listed | Open weights |
| Released | February 26, 2024 | April 22, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $2.00 | $0.18 |
| Output $/Mtok | $6.00 | $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 Large better than Hy3 preview for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Large has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Mistral Large or Hy3 preview?
Mistral Large costs $2.00 per million input tokens and $6.00 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 Large or Hy3 preview?
Hy3 preview, with 262K tokens against 128K.
How many benchmarks is the Mistral Large vs Hy3 preview comparison based on?
27 benchmarks have a result for both models as of October 21, 2026. Mistral Large'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.