Enter opens the highlighted result. Esc closes.

GPT-4 vs Mistral Medium 3

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4OpenAI
Coding
No data
Overall
6.7
Output $/M
$60.00
1
Mistral Medium 3Mistral AI
Coding
No data
Overall
9.0
Output $/M
$2.00
33
vs boards won of 34 shared

Decision reading

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

GPT-4 has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
34
GPT-4 only
11
Mistral Medium 3 only
23
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-4 not benchmarked, Mistral Medium 3 not benchmarked.
Widest category
Knowledge, 31.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: GPT-4 1145 against Mistral Medium 3 1381, 39.3 points apart on a 0 to 100 scale.
Output price
GPT-4 $60.00 against Mistral Medium 3 $2.00 per million output tokens, 30.0x apart.
Context window
GPT-4 takes 8K 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-4BarsMistral Medium 3Ties
Coding02
Intelligence02
Reasoning04
Math02
Knowledge05
General118
All shared boards133
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
SWE-bench Verified22.4%Not measuredOnly GPT-4 measured
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
AA Coding Index13.1Not measuredOnly GPT-4 measured
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Mistral Medium 3 measured
LMArena Text: coding12091385Mistral Medium 3
LMArena Text: software and IT11951385Mistral Medium 3
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
AA Intelligence Index6.79.0Mistral Medium 3
Epoch Capabilities Index125.7134.0Mistral Medium 3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
τ²-Bench TelecomNot measured24.3%Only Mistral Medium 3 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
GPQA Diamond (Artificial Analysis run)34.9%57.8%Mistral Medium 3
Humanity's Last Exam (Artificial Analysis run)Not measured4.1%Only Mistral Medium 3 measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts12001364Mistral Medium 3
LMArena Text: expert11491342Mistral Medium 3
LMArena Text: hard prompts in English12091374Mistral 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 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math12301353Mistral Medium 3
LMArena Text: mathematical work12281354Mistral Medium 3
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
MMLU Pro (Artificial Analysis run)56.2%76.0%Mistral Medium 3
MMLU86.4%Not measuredOnly GPT-4 measured
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science11771381Mistral Medium 3
LMArena Text: medicine and healthcare11451381Mistral Medium 3
LMArena Text: legal and government11911384Mistral Medium 3
LMArena Text: business and finance11451352Mistral Medium 3
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
Design Arena: websitesNot measured1079Only Mistral Medium 3 measured
Design Arena: UI componentsNot measured1024Only Mistral Medium 3 measured
Design Arena: game devNot measured1018Only 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 measured1069Only 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 index118
General benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral Medium 3Leader
IFBench33.2%39.3%Mistral Medium 3
Long context reasoning (AA-LCR)Not measured31.3%Only Mistral Medium 3 measured
DTBench62.7%62.3%GPT-4
LMCA17.1%Not measuredOnly GPT-4 measured
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
LMArena Text12061370Mistral Medium 3
LMArena Text: instruction following12011338Mistral Medium 3
LMArena Text: creative writing11911343Mistral Medium 3
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English12201385Mistral Medium 3
LMArena Text: non-English11941353Mistral Medium 3
LMArena Text: Chinese11841374Mistral Medium 3
LMArena Text: German11981377Mistral Medium 3
LMArena Text: Japanese11371316Mistral Medium 3
LMArena Text: Korean10871304Mistral Medium 3
LMArena Text: French12201368Mistral Medium 3
LMArena Text: Spanish11971364Mistral Medium 3
LMArena Text: Russian11951359Mistral Medium 3
LMArena Text: Polish12651371Mistral Medium 3
LMArena Text: multi-turn12061384Mistral Medium 3
LMArena Text: longer queries11901360Mistral Medium 3
LMArena Text: writing and language12191352Mistral Medium 3
LMArena Text: entertainment and media11841335Mistral Medium 3
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
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 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 and Mistral Medium 3
BenchmarkGPT-4Mistral 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-4$0.060Fits in one request
Mistral Medium 3$0.0014Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

GPT-4$1.68Exceeds the context window
Mistral Medium 3$0.026Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds 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-4 and Mistral Medium 3
SpecificationOpenAI GPT-4Mistral Medium 3
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMay 28, 2023May 7, 2025
Context window8K131K
Input $/Mtok$30.00$0.40
Output $/Mtok$60.00$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than Mistral Medium 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GPT-4 has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-4 or Mistral Medium 3?

GPT-4 costs $30.00 per million input tokens and $60.00 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-4 or Mistral Medium 3?

Mistral Medium 3, with 131K tokens against 8K.

How many benchmarks is the GPT-4 vs Mistral Medium 3 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. GPT-4'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.

Compare next