# Seed 2.0 Pro vs Mistral Large

> Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/dola-seed-2-0-pro-vs-mistral-large
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Seed 2.0 Pro scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Seed 2.0 Pro leads 62.9 to 40.7.
- Seed 2.0 Pro is cheaper at $0.50 / $3 per million input/output tokens, against $2 / $6 for Mistral Large.
- Seed 2.0 Pro accepts more context: 256K tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| Provider | ByteDance Seed | Mistral AI |
| Noometry Index | 43.2 | 31.9 |
| Rank | 96 | 263 |
| Context | 256K | 131K |
| Input $/M | $0.50 | $2 |
| Output $/M | $3 | $6 |
| Weights | Proprietary | Open |

## Coding

- Seed 2.0 Pro: 43.5 (#86)
- Mistral Large: 34.3 (#240)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Coding | 1472 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Seed 2.0 Pro: —
- Mistral Large: 28.6 (#89)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Seed 2.0 Pro: 24.1 (#165)
- Mistral Large: 15.8 (#310)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1257 |
| SimpleBench | — | 22.5% |
| NYT Connections (extended) | 28.4% | — |
| CritPt | — | 0% |
| Thematic Generalization | 57.1% | — |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Seed 2.0 Pro: 39.3 (#108)
- Mistral Large: 18.2 (#291)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Math | 1439 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Seed 2.0 Pro: 40.2 (#122)
- Mistral Large: 30.1 (#230)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Expert | 1440 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multimodal

- Seed 2.0 Pro: 41.5 (#35)
- Mistral Large: —

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Vision | 1274 | — |

## Multilingual

- Seed 2.0 Pro: 54.5 (#39)
- Mistral Large: 40.0 (#219)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Non-English | 1441 | 1237 |
| LMArena Chinese | 1489 | 1240 |
| LMArena French | 1471 | 1325 |
| LMArena German | 1442 | 1254 |
| LMArena Japanese | 1408 | 1188 |
| LMArena Korean | 1411 | 1202 |
| LMArena Russian | 1449 | 1257 |
| LMArena Spanish | 1460 | 1268 |

## Instruction Following

- Seed 2.0 Pro: 74.5 (#91)
- Mistral Large: 67.9 (#191)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1414 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Seed 2.0 Pro: 43.6 (#90)
- Mistral Large: 38.3 (#199)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1428 | 1261 |

## Writing & Preference

- Seed 2.0 Pro: 62.9 (#69)
- Mistral Large: 40.7 (#242)

| Benchmark | Seed 2.0 Pro | Mistral Large |
|---|---|---|
| LMArena Text | 1448 | 1266 |
| LMArena Creative Writing | 1406 | 1243 |
| LMArena Multi-Turn | 1441 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Seed 2.0 Pro better than Mistral Large?

Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 31.9 on the Noometry Index.

### Which is cheaper, Seed 2.0 Pro or Mistral Large?

Seed 2.0 Pro is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Mistral Large lists at $2 and $6.

### Is Seed 2.0 Pro or Mistral Large better for coding?

Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 34.3 in the Noometry coding category.

### Which has the bigger context window?

Seed 2.0 Pro does, with 256K tokens against 131K.

### How many benchmarks do Seed 2.0 Pro and Mistral Large share?

17 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and Mistral Large has 51.