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

Mistral Medium 3 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 9.0 to 7.7, and Mistral Medium 3 costs 5.0x less per output token ($2.00 vs $10.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Mistral Medium 3
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
3
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
35
vs boards won of 38 shared

GPT-4o (2024-08-06) or Mistral Medium 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 work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GPT-4o (2024-08-06) only
20
Mistral Medium 3 only
19
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 Medium 3 not benchmarked.
Widest category
Knowledge, 19.4 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: GPT-4o (2024-08-06) 1009 against Mistral Medium 3 1161, 25.3 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Mistral Medium 3 $2.00 per million output tokens, 5.0x apart.
Context window
GPT-4o (2024-08-06) takes 128K tokens, Mistral Medium 3 131K.

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 Medium 3Ties
Coding13
Intelligence01
Agentic work10
Reasoning05
Math02
Knowledge04
General120
All shared boards335
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 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%40.0%Mistral Medium 3
Terminal-Bench Hard (Artificial Analysis run)8.3%3.8%GPT-4o (2024-08-06)
LMArena Text: coding12831385Mistral Medium 3
LMArena Text: software and IT12781385Mistral Medium 3
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 3Leader
AA Intelligence Index7.79.0Mistral Medium 3
Epoch Capabilities IndexNot measured134.0Only Mistral Medium 3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 3Leader
τ²-Bench Telecom28.9%24.3%GPT-4o (2024-08-06)
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 3Leader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%57.8%Mistral Medium 3
Humanity's Last Exam (Artificial Analysis run)2.3%4.1%Mistral Medium 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 prompts12641364Mistral Medium 3
LMArena Text: expert12411342Mistral Medium 3
LMArena Text: hard prompts in English12771374Mistral Medium 3
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 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 measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 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: math12851353Mistral Medium 3
LMArena Text: mathematical work12831354Mistral Medium 3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 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 measured76.0%Only Mistral Medium 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: science12741381Mistral Medium 3
LMArena Text: medicine and healthcare12521381Mistral Medium 3
LMArena Text: legal and government12751384Mistral Medium 3
LMArena Text: business and finance12321352Mistral Medium 3
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 3Leader
Design Arena: websitesNot measured1079Only Mistral Medium 3 measured
Design Arena: UI componentsNot measured1022Only Mistral Medium 3 measured
Design Arena: game devNot measured1017Only Mistral Medium 3 measured
Design Arena: data vizNot measured1034Only Mistral Medium 3 measured
Design Arena: 3DNot measured1083Only Mistral Medium 3 measured
Design Arena: all code categoriesNot measured1068Only Mistral Medium 3 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for GPT-4o (2024-08-06) and Mistral Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 3Leader
IFBench36.0%39.3%Mistral Medium 3
Long context reasoning (AA-LCR)41.0%31.3%GPT-4o (2024-08-06)
DTBenchNot measured62.3%Only Mistral Medium 3 measured
LMArena Text12831370Mistral Medium 3
LMArena Text: instruction following12671338Mistral Medium 3
LMArena Text: creative writing12741343Mistral Medium 3
LMArena Vision10651157Mistral Medium 3
LMArena Text: English12971385Mistral Medium 3
LMArena Text: non-English12621353Mistral Medium 3
LMArena Text: Chinese12541374Mistral Medium 3
LMArena Text: German12571377Mistral Medium 3
LMArena Text: Japanese12341316Mistral Medium 3
LMArena Text: Korean12181304Mistral Medium 3
LMArena Text: French12631368Mistral Medium 3
LMArena Text: Spanish12691364Mistral Medium 3
LMArena Text: Russian12721359Mistral Medium 3
LMArena Text: PolishNot measured1371Only Mistral Medium 3 measured
LMArena Text: multi-turn12791384Mistral Medium 3
LMArena Text: longer queries12831360Mistral Medium 3
LMArena Text: writing and language12901352Mistral Medium 3
LMArena Text: entertainment and media12671335Mistral Medium 3
LMArena Vision: English10721172Mistral Medium 3
LMArena Vision: Chinese10091161Mistral Medium 3
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 18 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 Medium 3
BenchmarkGPT-4o (2024-08-06)Mistral Medium 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 Medium 3$0.0014Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Mistral Medium 3$0.026Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Mistral Medium 3$0.100Exceeds the context window

Mistral Medium 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 Medium 3
SpecificationOpenAI GPT-4o (2024-08-06)Mistral Medium 3
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024May 7, 2025
Context window128K131K
Input $/Mtok$2.50$0.40
Output $/Mtok$10.00$2.00
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 Medium 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 work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

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

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

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

Mistral Medium 3, with 131K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Mistral Medium 3 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 Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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