DeepSeek V4 Pro 0813 vs Mistral Large 4
Mistral Large 4 leads DeepSeek V4 Pro 0813 on coding, 56.4 to 56.1 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 2.1x less per output token ($1.98 vs $4.18 per million). Updated October 22, 2026; 56 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or Mistral Large 4: which to pick
DeepSeek V4 Pro 0813 and Mistral Large 4 are level for coding, 56.1 against 56.4 on the Vibe Coding Index, so price and context decide.
Pick DeepSeek V4 Pro 0813 for output tokens 2.1x cheaper ($1.98 vs $4.18 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads.
- Shared results
- 56
- DeepSeek V4 Pro 0813 only
- 22
- Mistral Large 4 only
- 25
- Like-for-like categories
- 7 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
Level: 56.1 against 56.4, inside 2 points.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1257.
Directional only
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Math, 9.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: DeepSeek V4 Pro 0813 50.0% against Mistral Large 4 10.0%, 40.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against Mistral Large 4 $4.18 per million output tokens, 2.1x apart.
- Context window
- Both take 1.05M tokens.
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 | DeepSeek V4 Pro 0813 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 8 | 5 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 7 | 0 | ||
| Math | 3 | 2 | 1 tie | |
| Knowledge | 6 | 0 | ||
| General | 12 | 5 | ||
| All shared boards | 38 | 17 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index85
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1582 | 1543 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | 87.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Verified (Vals AI) | 96.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | 14.1% | 27.8% | Mistral Large 4 |
| Vibe Code Bench (Vals AI) | 82.3% | 78.4% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 30.6% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | 51.6% | 45.3% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | 14.3% | DeepSeek V4 Pro 0813 |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SciCode | 51.0% | 54.2% | Mistral Large 4 |
| FrontierCode | 28.5% | 39.4% | Mistral Large 4 |
| WeirdML | 66.2% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ALE-Bench | 1403.2 | 1213.2 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1469 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1462 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1588 | 1559 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1487 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 155.6 | 150.0 | DeepSeek V4 Pro 0813 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveBench research | Not measured | 28.1% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 8.0% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 11.8% | Only Mistral Large 4 measured |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 26.8% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 40.9% | 31.7% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | 17.5% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| APEX-Agents | 47.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 35.0% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 91.7% | 88.1% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 90.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI-2 | 61.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Chess puzzles | 46.0% | 33.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 43.0% | 17.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts | 1458 | 1444 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1459 | 1444 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1463 | 1442 | DeepSeek V4 Pro 0813 |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | 98.3% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 58.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 26.8% | 26.8% | Tie |
| ProofBench | 50.0% | 10.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1443 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LegalBench (Vals AI) | 82.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CorpFin (Vals AI) | 65.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | 73.1% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| MedCode (Vals AI) | 42.5% | 40.7% | DeepSeek V4 Pro 0813 |
| SimpleQA Verified | 52.9% | 20.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1457 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1425 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1442 | 1439 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1257 | Only Mistral Large 4 measured |
| Design Arena: UI components | Not measured | 1272 | Only Mistral Large 4 measured |
| Design Arena: game dev | Not measured | 1225 | Only Mistral Large 4 measured |
| Design Arena: data viz | Not measured | 1275 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1252 | 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 | 1202 | Only Mistral Large 4 measured |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
| Benchmark | DeepSeek V4 Pro 0813 | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | 80.2% | 80.4% | Mistral Large 4 |
| Long context reasoning (AA-LCR) | 80.3% | 81.3% | Mistral Large 4 |
| DTBench | 93.9% | 88.2% | DeepSeek V4 Pro 0813 |
| LMCA | 45.5% | 35.8% | DeepSeek V4 Pro 0813 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1446 | 1431 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1422 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1363 | DeepSeek V4 Pro 0813 |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1457 | 1433 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1422 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1481 | 1492 | Mistral Large 4 |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: Korean | 1449 | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: French | 1446 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1435 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1448 | 1417 | DeepSeek V4 Pro 0813 |
| LMArena Text: multi-turn | 1454 | 1435 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1458 | 1428 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1443 | 1386 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1378 | DeepSeek V4 Pro 0813 |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | 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
DeepSeek V4 Pro 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 | DeepSeek V4 Pro 0813 | Mistral Large 4 |
|---|---|---|
| Maker | DeepSeek | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | August 12, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.66 | $1.36 |
| Output $/Mtok | $1.98 | $4.18 |
| Coding index | 56.1 | 56.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | $0.10 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Mistral Large 4 for coding?
DeepSeek V4 Pro 0813 and Mistral Large 4 are level for coding, 56.1 against 56.4 on the Vibe Coding Index, so price and context decide. Pick DeepSeek V4 Pro 0813 for output tokens 2.1x cheaper ($1.98 vs $4.18 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads. Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or Mistral Large 4?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Mistral Large 4 comparison based on?
56 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.