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GPT-4o (2024-08-06) vs Mistral Small 3

GPT-4o (2024-08-06) leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 7.7 to 6.7, and Mistral Small 3 costs 125.0x less per output token ($0.08 vs $10.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Mistral Small 3
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
32
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
1
vs boards won of 33 shared

GPT-4o (2024-08-06) or Mistral Small 3: 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 a larger context window (128K against 33K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
GPT-4o (2024-08-06) only
25
Mistral Small 3 only
3
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-4o (2024-08-06) not benchmarked, Mistral Small 3 not benchmarked.
Widest category
General, 11.9 points apart on average over 17 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GPT-4o (2024-08-06) 41.0% against Mistral Small 3 0.0%, 41.0 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Mistral Small 3 $0.08 per million output tokens, 125.0x apart.
Context window
GPT-4o (2024-08-06) takes 128K tokens, Mistral Small 3 33K.

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 Small 3Ties
Coding30
Intelligence10
Agentic work10
Reasoning41
Math20
Knowledge40
General170
All shared boards321
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LiveCodeBench (Artificial Analysis run)31.7%25.2%GPT-4o (2024-08-06)
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: coding12831246GPT-4o (2024-08-06)
LMArena Text: software and IT12781248GPT-4o (2024-08-06)
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
AA Intelligence Index7.76.7GPT-4o (2024-08-06)
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
τ²-Bench Telecom28.9%19.6%GPT-4o (2024-08-06)
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%46.2%GPT-4o (2024-08-06)
Humanity's Last Exam (Artificial Analysis run)2.3%3.8%Mistral Small 3
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 prompts12641233GPT-4o (2024-08-06)
LMArena Text: expert12411202GPT-4o (2024-08-06)
LMArena Text: hard prompts in English12771243GPT-4o (2024-08-06)
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Math IndexNot measured4.3Only Mistral Small 3 measured
AIME 2025 (Artificial Analysis run)Not measured4.3%Only Mistral Small 3 measured
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: math12851240GPT-4o (2024-08-06)
LMArena Text: mathematical work12831243GPT-4o (2024-08-06)
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
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%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU Pro (Artificial Analysis run)Not measured65.2%Only Mistral Small 3 measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741235GPT-4o (2024-08-06)
LMArena Text: medicine and healthcare12521215GPT-4o (2024-08-06)
LMArena Text: legal and government12751219GPT-4o (2024-08-06)
LMArena Text: business and finance12321205GPT-4o (2024-08-06)
Neither model has a result on the other 7 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 Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GPT-4o (2024-08-06) and Mistral Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
IFBench36.0%26.4%GPT-4o (2024-08-06)
Long context reasoning (AA-LCR)41.0%0.0%GPT-4o (2024-08-06)
LMArena Text12831234GPT-4o (2024-08-06)
LMArena Text: instruction following12671214GPT-4o (2024-08-06)
LMArena Text: creative writing12741194GPT-4o (2024-08-06)
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971256GPT-4o (2024-08-06)
LMArena Text: non-English12621198GPT-4o (2024-08-06)
LMArena Text: Chinese12541204GPT-4o (2024-08-06)
LMArena Text: German12571211GPT-4o (2024-08-06)
LMArena Text: Japanese12341111GPT-4o (2024-08-06)
LMArena Text: Korean12181188GPT-4o (2024-08-06)
LMArena Text: French12631204GPT-4o (2024-08-06)
LMArena Text: Spanish1269Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: Russian12721216GPT-4o (2024-08-06)
LMArena Text: multi-turn12791217GPT-4o (2024-08-06)
LMArena Text: longer queries12831246GPT-4o (2024-08-06)
LMArena Text: writing and language12901214GPT-4o (2024-08-06)
LMArena Text: entertainment and media12671184GPT-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 27 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 Small 3
BenchmarkGPT-4o (2024-08-06)Mistral Small 3Leader
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 Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Mistral Small 3$0.011Exceeds the context window

Mistral Small 3 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 Small 3
SpecificationOpenAI GPT-4o (2024-08-06)Mistral Small 3
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024January 30, 2025
Context window128K33K
Input $/Mtok$2.50$0.05
Output $/Mtok$10.00$0.08
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 Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for a larger context window (128K against 33K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Mistral Small 3?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Mistral Small 3?

GPT-4o (2024-08-06), with 128K tokens against 33K.

How many benchmarks is the GPT-4o (2024-08-06) vs Mistral Small 3 comparison based on?

33 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 Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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