GPT-5.4 Nano vs Mistral Large 4
Mistral Large 4 leads GPT-5.4 Nano on coding, 56.4 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.3x less per output token ($1.25 vs $4.18 per million). Updated October 22, 2026; 53 benchmarks have a result for both.
GPT-5.4 Nano or Mistral Large 4: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.
Pick GPT-5.4 Nano for output tokens 3.3x cheaper ($1.25 vs $4.18 per million) and work measured by Chess puzzles or MedCode (Vals AI), where it leads.
- Shared results
- 53
- GPT-5.4 Nano only
- 32
- Mistral Large 4 only
- 28
- 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 44.8.
2 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Nano has a GPQA Diamond result, 77.5%.
Directional only
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Nano has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1257.
Directional only
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
GPT-5.4 Nano $0.0008, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Nano has the number, $0.14.
Directional only
At a glance
- Coding index
- GPT-5.4 Nano 44.8 from 2 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Agentic work, 19.7 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): GPT-5.4 Nano 26.1% against Mistral Large 4 78.4%, 52.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Nano $1.25 against Mistral Large 4 $4.18 per million output tokens, 3.3x apart.
- Context window
- GPT-5.4 Nano takes 400K tokens, Mistral Large 4 1.05M.
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 | GPT-5.4 Nano | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 1 | 7 | ||
| Math | 0 | 6 | ||
| Knowledge | 1 | 5 | ||
| General | 1 | 20 | ||
| All shared boards | 3 | 50 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | Not measured | 1543 | Only Mistral Large 4 measured |
| AA Coding Index | 56.1 | Not measured | Only GPT-5.4 Nano measured |
| LiveCodeBench (Vals AI) | 84.0% | Not measured | Only GPT-5.4 Nano measured |
| SWE-bench Verified (Vals AI) | 69.8% | Not measured | Only GPT-5.4 Nano measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 26.1% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 14.5% | 30.6% | Mistral Large 4 |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | 41.6% | Not measured | Only GPT-5.4 Nano 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 | 47.2% | 54.2% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | Not measured | Only GPT-5.4 Nano measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 49.2% | Not measured | Only GPT-5.4 Nano measured |
| ALE-Bench | 1004.5 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1404 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1402 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | Not measured | 1559 | Only Mistral Large 4 measured |
| LMArena WebDev: HTML | Not measured | 1487 | Only Mistral Large 4 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 146.0 | 150.0 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 16.0 | Not measured | Only GPT-5.4 Nano 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) | 38.2% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 5.0% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 6.3% | 31.7% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 44.8% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| τ²-Bench Telecom | 76.0% | Not measured | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 77.5% | Not measured | Only GPT-5.4 Nano measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | 73.6% | Not measured | Only GPT-5.4 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 81.7% | Not measured | Only GPT-5.4 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | 28.3% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 78.5% | 88.1% | Mistral Large 4 |
| ARC-AGI | 51.5% | Not measured | Only GPT-5.4 Nano measured |
| ARC-AGI-2 | 5.7% | Not measured | Only GPT-5.4 Nano measured |
| Chess puzzles | 45.0% | 33.0% | GPT-5.4 Nano |
| Mystery game puzzles | 9.0% | 17.0% | Mistral Large 4 |
| LMArena Text: hard prompts | 1381 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1396 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1387 | 1442 | Mistral Large 4 |
| LMArena Vision: diagrams | 1210 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1225 | Not measured | Only GPT-5.4 Nano measured |
| Kagi LLM Benchmark | 39.7% | Not measured | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| AIME | 88.8% | Not measured | Only GPT-5.4 Nano measured |
| OTIS Mock AIME | 87.8% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 44.9% | 58.6% | Mistral Large 4 |
| FrontierMath, tier 4 | 12.2% | 26.8% | Mistral Large 4 |
| ProofBench | 5.0% | 10.0% | Mistral Large 4 |
| LMArena Text: math | 1405 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1409 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | Not measured | Only GPT-5.4 Nano measured |
| LegalBench (Vals AI) | 77.9% | Not measured | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | 51.9% | Not measured | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | 61.2% | Not measured | Only GPT-5.4 Nano measured |
| TaxEval (Vals AI) | 67.4% | Not measured | Only GPT-5.4 Nano measured |
| MortgageTax (Vals AI) | 59.1% | Not measured | Only GPT-5.4 Nano measured |
| MedCode (Vals AI) | 41.0% | 40.7% | GPT-5.4 Nano |
| SimpleQA Verified | 11.7% | 20.0% | Mistral Large 4 |
| LMArena Text: science | 1374 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1369 | 1433 | Mistral Large 4 |
| LMArena Text: legal and government | 1368 | 1425 | Mistral Large 4 |
| LMArena Text: business and finance | 1366 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GPT-5.4 Nano | 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 index120
| Benchmark | GPT-5.4 Nano | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| SAGE (Vals AI) | 38.1% | Not measured | Only GPT-5.4 Nano measured |
| MedScribe (Vals AI) | 77.1% | 80.4% | Mistral Large 4 |
| Vals Multimodal Index | 47.6% | Not measured | Only GPT-5.4 Nano measured |
| IFBench | 75.9% | Not measured | Only GPT-5.4 Nano measured |
| Long context reasoning (AA-LCR) | 76.7% | 81.3% | Mistral Large 4 |
| DTBench | 80.3% | 88.2% | Mistral Large 4 |
| LMCA | 36.9% | 35.8% | GPT-5.4 Nano |
| 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 | 1372 | 1431 | Mistral Large 4 |
| LMArena Text: instruction following | 1362 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1315 | 1363 | Mistral Large 4 |
| LMArena Vision | 1196 | 1272 | Mistral Large 4 |
| LMArena Text: English | 1381 | 1433 | Mistral Large 4 |
| LMArena Text: non-English | 1359 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1391 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1368 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: Japanese | 1343 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1321 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: French | 1395 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1371 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1363 | 1417 | Mistral Large 4 |
| LMArena Text: Polish | 1366 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: multi-turn | 1382 | 1435 | Mistral Large 4 |
| LMArena Text: longer queries | 1365 | 1428 | Mistral Large 4 |
| LMArena Text: writing and language | 1338 | 1386 | Mistral Large 4 |
| LMArena Text: entertainment and media | 1325 | 1378 | Mistral Large 4 |
| LMArena Vision: English | 1202 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1232 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: reading text | 1204 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1161 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: recognizing things | 1141 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | 1159 | Not measured | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Nano | 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
GPT-5.4 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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 | OpenAI GPT-5.4 Nano | Mistral Large 4 |
|---|---|---|
| Maker | OpenAI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | October 6, 2026 |
| Context window | 400K | 1.05M |
| Input $/Mtok | $0.20 | $1.36 |
| Output $/Mtok | $1.25 | $4.18 |
| Coding index | 44.8 | 56.4 |
| Independent measurements behind it | 2 | 5 |
| Cost per solved task | $0.14 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Nano better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 3.3x cheaper ($1.25 vs $4.18 per million) and work measured by Chess puzzles or MedCode (Vals AI), where it leads.
Which is cheaper, GPT-5.4 Nano or Mistral Large 4?
GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for GPT-5.4 Nano only.
Which has the bigger context window, GPT-5.4 Nano or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5.4 Nano vs Mistral Large 4 comparison based on?
53 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 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.