DeepSeek V4 Flash 0423 vs Mistral Large 4
Mistral Large 4 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 38.4 to 24.4, and DeepSeek V4 Flash 0423 costs 14.9x less per output token ($0.28 vs $4.18 per million). Updated October 22, 2026; 41 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or Mistral Large 4: which to pick
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash 0423 for output tokens 14.9x cheaper ($0.28 vs $4.18 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
- Shared results
- 41
- DeepSeek V4 Flash 0423 only
- 8
- Mistral Large 4 only
- 40
- 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
Only Mistral Large 4 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0423 has a AA Agentic Index result, 26.3.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 1207.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 $0.0003, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash 0423 not benchmarked, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Web design, 9.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- Design Arena: data viz: DeepSeek V4 Flash 0423 1127 against Mistral Large 4 1275, 18.5 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against Mistral Large 4 $4.18 per million output tokens, 14.9x 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 Flash 0423 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 3 | 3 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 1 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| Web design | 0 | 8 | ||
| General | 9 | 7 | ||
| All shared boards | 15 | 26 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1582 | 1543 | DeepSeek V4 Flash 0423 |
| AA Coding Index | 52.0 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | Not measured | 78.4% | Only Mistral Large 4 measured |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | Not measured | 54.2% | Only Mistral Large 4 measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 45.6% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| ALE-Bench | 678.2 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1457 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1453 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1585 | 1559 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: HTML | 1558 | 1487 | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 146.1 | 150.0 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | Not measured | Only DeepSeek V4 Flash 0423 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 |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | Not measured | 30.4% | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | Not measured | 31.7% | Only Mistral Large 4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.0% | Only Mistral Large 4 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1444 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1441 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1449 | 1442 | DeepSeek V4 Flash 0423 |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 98.3% | Only Mistral Large 4 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | Not measured | 10.0% | Only Mistral Large 4 measured |
| LMArena Text: math | 1426 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1432 | 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 index22
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | 1446 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1448 | 1433 | DeepSeek V4 Flash 0423 |
| LMArena Text: legal and government | 1439 | 1425 | DeepSeek V4 Flash 0423 |
| LMArena Text: business and finance | 1425 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1207 | 1257 | Mistral Large 4 |
| Design Arena: UI components | 1162 | 1272 | Mistral Large 4 |
| Design Arena: game dev | 1196 | 1225 | Mistral Large 4 |
| Design Arena: data viz | 1127 | 1275 | Mistral Large 4 |
| Design Arena: 3D | 1188 | 1252 | Mistral Large 4 |
| Design Arena: all code categories | 1205 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1155 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | 1109 | 1202 | Mistral Large 4 |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index97
| Benchmark | DeepSeek V4 Flash 0423 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| Long context reasoning (AA-LCR) | Not measured | 81.3% | Only Mistral Large 4 measured |
| DTBench | 86.4% | 88.2% | Mistral Large 4 |
| LMCA | 35.9% | 35.8% | DeepSeek V4 Flash 0423 |
| 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 | 1432 | 1431 | DeepSeek V4 Flash 0423 |
| LMArena Text: instruction following | 1421 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1403 | 1363 | DeepSeek V4 Flash 0423 |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1441 | 1433 | DeepSeek V4 Flash 0423 |
| LMArena Text: non-English | 1419 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1463 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1419 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Japanese | 1389 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1383 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: French | 1439 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1436 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1427 | 1417 | DeepSeek V4 Flash 0423 |
| LMArena Text: Polish | 1436 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: multi-turn | 1449 | 1435 | DeepSeek V4 Flash 0423 |
| LMArena Text: longer queries | 1434 | 1428 | DeepSeek V4 Flash 0423 |
| LMArena Text: writing and language | 1410 | 1386 | DeepSeek V4 Flash 0423 |
| LMArena Text: entertainment and media | 1400 | 1378 | DeepSeek V4 Flash 0423 |
| 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 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | 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 Flash 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0423 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 Flash 0423 | Mistral Large 4 |
|---|---|---|
| Maker | DeepSeek | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.14 | $1.36 |
| Output $/Mtok | $0.28 | $4.18 |
| Coding index | Not benchmarked | 56.4 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than Mistral Large 4 for coding?
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 14.9x cheaper ($0.28 vs $4.18 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.
Which is cheaper, DeepSeek V4 Flash 0423 or Mistral Large 4?
DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4 Flash 0423 or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash 0423 vs Mistral Large 4 comparison based on?
41 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.