Enter opens the highlighted result. Esc closes.

GPT-4o (2024-08-06) vs Mistral Large

GPT-4o (2024-08-06) leads Mistral Large on the Artificial Analysis Intelligence Index, 7.7 to 5.8, and Mistral Large costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Mistral Large
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
34
Mistral LargeMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
4
vs boards won of 38 shared

GPT-4o (2024-08-06) or Mistral Large: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o (2024-08-06) for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Text: medicine and healthcare, where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-4o (2024-08-06) only
20
Mistral Large only
6
Like-for-like categories
6 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-4o (2024-08-06) not benchmarked, Mistral Large not benchmarked.
Widest category
Knowledge, 5.4 points apart on average over 8 shared benchmarks.
Widest single gap
GPQA Diamond (Artificial Analysis run): GPT-4o (2024-08-06) 52.1% against Mistral Large 35.1%, 17.0 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Mistral Large $6.00 per million output tokens, 1.7x apart.
Context window
Both take 128K 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.

Boards won, where both have a result
CategoryGPT-4o (2024-08-06)BarsMistral LargeTies
Coding30
Intelligence10
Reasoning41
Math50
Knowledge62
General151
All shared boards344
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveCodeBench (Vals AI)Not measured37.1%Only Mistral Large measured
LiveCodeBench (Artificial Analysis run)31.7%17.8%GPT-4o (2024-08-06)
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: coding12831275GPT-4o (2024-08-06)
LMArena Text: software and IT12781274GPT-4o (2024-08-06)
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
AA Intelligence Index7.75.8GPT-4o (2024-08-06)
Epoch Capabilities IndexNot measured122.1Only Mistral Large measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
GPQA DiamondNot measured47.7%Only Mistral Large measured
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%35.1%GPT-4o (2024-08-06)
Humanity's Last Exam (Artificial Analysis run)2.3%3.5%Mistral Large
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641257GPT-4o (2024-08-06)
LMArena Text: expert12411208GPT-4o (2024-08-06)
LMArena Text: hard prompts in English12771268GPT-4o (2024-08-06)
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
AIME14.0%9.2%GPT-4o (2024-08-06)
MATH 500 (Vals AI)75.2%74.4%GPT-4o (2024-08-06)
MGSM (Vals AI)90.7%87.2%GPT-4o (2024-08-06)
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851261GPT-4o (2024-08-06)
LMArena Text: mathematical work12831257GPT-4o (2024-08-06)
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index62
Knowledge benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
MMLU Pro74.1%69.7%GPT-4o (2024-08-06)
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%63.8%GPT-4o (2024-08-06)
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%76.2%GPT-4o (2024-08-06)
MMLU Pro (Artificial Analysis run)Not measured51.5%Only Mistral Large measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%68.8%GPT-4o (2024-08-06)
LMArena Text: science12741260GPT-4o (2024-08-06)
LMArena Text: medicine and healthcare12521255Mistral Large
LMArena Text: legal and government12751275GPT-4o (2024-08-06)
LMArena Text: business and finance12321238Mistral Large
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index151
General benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%Not measuredOnly GPT-4o (2024-08-06) measured
DTBenchNot measured60.8%Only Mistral Large measured
LMArena Text12831265GPT-4o (2024-08-06)
LMArena Text: instruction following12671249GPT-4o (2024-08-06)
LMArena Text: creative writing12741242GPT-4o (2024-08-06)
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971284GPT-4o (2024-08-06)
LMArena Text: non-English12621235GPT-4o (2024-08-06)
LMArena Text: Chinese12541239GPT-4o (2024-08-06)
LMArena Text: German12571242GPT-4o (2024-08-06)
LMArena Text: Japanese12341170GPT-4o (2024-08-06)
LMArena Text: Korean12181202GPT-4o (2024-08-06)
LMArena Text: French12631325Mistral Large
LMArena Text: Spanish12691268GPT-4o (2024-08-06)
LMArena Text: Russian12721252GPT-4o (2024-08-06)
LMArena Text: PolishNot measured1157Only Mistral Large measured
LMArena Text: multi-turn12791260GPT-4o (2024-08-06)
LMArena Text: longer queries12831261GPT-4o (2024-08-06)
LMArena Text: writing and language12901261GPT-4o (2024-08-06)
LMArena Text: entertainment and media12671230GPT-4o (2024-08-06)
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Mistral Large
BenchmarkGPT-4o (2024-08-06)Mistral LargeLeader
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-4o (2024-08-06)$0.0075Fits in one request
Mistral Large$0.0050Fits in one request

Mistral Large costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Mistral Large$0.118Fits in one request

Mistral Large costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Mistral Large$0.460Exceeds the context window

Mistral Large 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-4o (2024-08-06) and Mistral Large
SpecificationOpenAI GPT-4o (2024-08-06)Mistral Large
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024February 26, 2024
Context window128K128K
Input $/Mtok$2.50$2.00
Output $/Mtok$10.00$6.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Mistral Large for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Mistral Large?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Mistral Large?

Neither: both take 128K tokens.

How many benchmarks is the GPT-4o (2024-08-06) vs Mistral Large comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Mistral Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next