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GPT-5.4 Nano vs Mistral Large 3 2512

GPT-5.4 Nano leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 20.7 to 9.3, and GPT-5.4 Nano costs 1.2x less per output token ($1.25 vs $1.50 per million). Updated October 22, 2026; 18 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Mistral Large 3 2512
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
14
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
4
vs boards won of 18 shared

GPT-5.4 Nano or Mistral Large 3 2512: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for work measured by MMLU Pro or LegalBench (Vals AI), where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task
Shared results
18
GPT-5.4 Nano only
67
Mistral Large 3 2512 only
10
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.

At a glance

Coding index
GPT-5.4 Nano 44.8 from 2 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category
Math, 45.8 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GPT-5.4 Nano 88.8% against Mistral Large 3 2512 42.9%, 45.8 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Mistral Large 3 2512 $1.50 per million output tokens, 1.2x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Mistral Large 3 2512 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.

Boards won, where both have a result
CategoryGPT-5.4 NanoBarsMistral Large 3 2512Ties
Coding40
Intelligence10
Agentic work10
Reasoning20
Math10
Knowledge24
General30
All shared boards144
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
AA Coding Index56.120.1GPT-5.4 Nano
LiveCodeBench (Vals AI)84.0%55.3%GPT-5.4 Nano
SWE-bench Verified (Vals AI)69.8%41.4%GPT-5.4 Nano
Vibe Code Bench (Vals AI)26.1%Not measuredOnly GPT-5.4 Nano measured
Code migration (Vals AI)14.5%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)41.6%Not measuredOnly GPT-5.4 Nano measured
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5264.7GPT-5.4 Nano
LMArena Text: coding1404Not measuredOnly GPT-5.4 Nano measured
LMArena Text: software and IT1402Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
AA Intelligence Index20.79.3GPT-5.4 Nano
Epoch Capabilities Index146.0Not measuredOnly GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
AA Agentic Index16.01.0GPT-5.4 Nano
Finance Agent (Vals AI)38.2%Not measuredOnly GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)5.0%Not measuredOnly GPT-5.4 Nano measured
Legal Research Bench (Vals AI)6.3%Not measuredOnly GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)44.8%Not measuredOnly GPT-5.4 Nano measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
GPQA Diamond77.5%68.4%GPT-5.4 Nano
MMMU Pro (Vals AI)73.6%66.2%GPT-5.4 Nano
GPQA Diamond (Artificial Analysis run)81.7%Not measuredOnly GPT-5.4 Nano measured
Humanity's Last Exam (Artificial Analysis run)28.3%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%Not measuredOnly GPT-5.4 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts1381Not measuredOnly GPT-5.4 Nano measured
LMArena Text: expert1396Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts in English1387Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
AIME88.8%42.9%GPT-5.4 Nano
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: math1405Not measuredOnly GPT-5.4 Nano measured
LMArena Text: mathematical work1409Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
MMLU Pro77.2%79.8%Mistral Large 3 2512
LegalBench (Vals AI)77.9%79.1%Mistral Large 3 2512
CaseLaw (Vals AI)51.9%61.4%Mistral Large 3 2512
CorpFin (Vals AI)61.2%61.0%GPT-5.4 Nano
TaxEval (Vals AI)67.4%73.1%Mistral Large 3 2512
MortgageTax (Vals AI)59.1%52.1%GPT-5.4 Nano
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science1374Not measuredOnly GPT-5.4 Nano measured
LMArena Text: medicine and healthcare1369Not measuredOnly GPT-5.4 Nano measured
LMArena Text: legal and government1368Not measuredOnly GPT-5.4 Nano measured
LMArena Text: business and finance1366Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
Design Arena: websitesNot measured1162Only Mistral Large 3 2512 measured
Design Arena: UI componentsNot measured1099Only Mistral Large 3 2512 measured
Design Arena: game devNot measured1080Only Mistral Large 3 2512 measured
Design Arena: data vizNot measured1136Only Mistral Large 3 2512 measured
Design Arena: 3DNot measured1099Only Mistral Large 3 2512 measured
Design Arena: all code categoriesNot measured1141Only Mistral Large 3 2512 measured
Design Arena: SVGNot measured992Only Mistral Large 3 2512 measured
Design Arena: ASCII artNot measured1069Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
SAGE (Vals AI)38.1%24.6%GPT-5.4 Nano
MedScribe (Vals AI)77.1%Not measuredOnly GPT-5.4 Nano measured
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%Not measuredOnly GPT-5.4 Nano measured
DTBench80.3%65.1%GPT-5.4 Nano
LMCA36.9%16.7%GPT-5.4 Nano
LMArena Text1372Not measuredOnly GPT-5.4 Nano measured
LMArena Text: instruction following1362Not measuredOnly GPT-5.4 Nano measured
LMArena Text: creative writing1315Not measuredOnly GPT-5.4 Nano measured
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English1381Not measuredOnly GPT-5.4 Nano measured
LMArena Text: non-English1359Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Chinese1391Not measuredOnly GPT-5.4 Nano measured
LMArena Text: German1368Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Japanese1343Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Korean1321Not measuredOnly GPT-5.4 Nano measured
LMArena Text: French1395Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Spanish1371Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Russian1363Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Polish1366Not measuredOnly GPT-5.4 Nano measured
LMArena Text: multi-turn1382Not measuredOnly GPT-5.4 Nano measured
LMArena Text: longer queries1365Not measuredOnly GPT-5.4 Nano measured
LMArena Text: writing and language1338Not measuredOnly GPT-5.4 Nano measured
LMArena Text: entertainment and media1325Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: English1202Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: Chinese1232Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: reading text1204Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: humor1161Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing1159Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Nano and Mistral Large 3 2512
BenchmarkGPT-5.4 NanoMistral Large 3 2512Leader
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$0.0008Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Mistral Large 3 2512$0.029Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Mistral Large 3 2512$0.115Fits in one request

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.

Specifications of GPT-5.4 Nano and Mistral Large 3 2512
SpecificationOpenAI GPT-5.4 NanoMistral Large 3 2512
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026December 1, 2025
Context window400K262K
Input $/Mtok$0.20$0.50
Output $/Mtok$1.25$1.50
Coding index44.8Not benchmarked
Independent measurements behind it21
Cost per solved task$0.14$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Mistral Large 3 2512 for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for work measured by MMLU Pro or LegalBench (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Nano or Mistral Large 3 2512?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, GPT-5.4 Nano or Mistral Large 3 2512?

GPT-5.4 Nano, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Nano vs Mistral Large 3 2512 comparison based on?

18 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 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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