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GPT-4 Turbo vs Mistral Medium 3.1

Mistral Medium 3.1 leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 9.2 to 7.0, and Mistral Medium 3.1 costs 15.0x less per output token ($2.00 vs $30.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace GPT-4 Turbo Replace Mistral Medium 3.1
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
4
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
36
vs boards won of 40 shared

GPT-4 Turbo or Mistral Medium 3.1: which to pick

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

Pick GPT-4 Turbo for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
40
GPT-4 Turbo only
2
Mistral Medium 3.1 only
34
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-4 Turbo not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Math, 23.4 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: GPT-4 Turbo 1239 against Mistral Medium 3.1 1449, 35.0 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against Mistral Medium 3.1 $2.00 per million output tokens, 15.0x apart.
Context window
GPT-4 Turbo takes 128K tokens, Mistral Medium 3.1 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-4 TurboBarsMistral Medium 3.1Ties
Coding13
Intelligence01
Reasoning04
Math02
Knowledge34
General022
All shared boards436
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
AA Coding Index21.520.5GPT-4 Turbo
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)29.1%40.6%Mistral Medium 3.1
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding12681433Mistral Medium 3.1
LMArena Text: software and IT12671436Mistral Medium 3.1
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
AA Intelligence Index7.09.2Mistral Medium 3.1
Epoch Capabilities Index127.3Not measuredOnly GPT-4 Turbo measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)Not measured58.8%Only Mistral Medium 3.1 measured
Humanity's Last Exam (Artificial Analysis run)3.1%4.7%Mistral Medium 3.1
LMArena Text: hard prompts12511426Mistral Medium 3.1
LMArena Text: expert12231408Mistral Medium 3.1
LMArena Text: hard prompts in English12661435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
LMArena Text: math12721408Mistral Medium 3.1
LMArena Text: mathematical work12681412Mistral Medium 3.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index34
Knowledge benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)80.5%62.0%GPT-4 Turbo
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)82.0%78.2%GPT-4 Turbo
MMLU Pro (Artificial Analysis run)69.4%68.3%GPT-4 Turbo
MMLU81.3%Not measuredOnly GPT-4 Turbo measured
LMArena Text: science12561444Mistral Medium 3.1
LMArena Text: medicine and healthcare12391449Mistral Medium 3.1
LMArena Text: legal and government12651439Mistral Medium 3.1
LMArena Text: business and finance12221418Mistral Medium 3.1
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
Design Arena: websitesNot measured1132Only Mistral Medium 3.1 measured
Design Arena: UI componentsNot measured1097Only Mistral Medium 3.1 measured
Design Arena: game devNot measured1073Only Mistral Medium 3.1 measured
Design Arena: data vizNot measured1144Only Mistral Medium 3.1 measured
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categoriesNot measured1120Only Mistral Medium 3.1 measured
Design Arena: SVGNot measured992Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
General benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)Not measured42.7%Only Mistral Medium 3.1 measured
DTBench61.6%67.5%Mistral Medium 3.1
LMCA9.8%19.1%Mistral Medium 3.1
LMArena Text12721424Mistral Medium 3.1
LMArena Text: instruction following12491398Mistral Medium 3.1
LMArena Text: creative writing12681391Mistral Medium 3.1
LMArena Vision10901172Mistral Medium 3.1
LMArena Text: English12911438Mistral Medium 3.1
LMArena Text: non-English12451408Mistral Medium 3.1
LMArena Text: Chinese12421447Mistral Medium 3.1
LMArena Text: German12591432Mistral Medium 3.1
LMArena Text: Japanese11941379Mistral Medium 3.1
LMArena Text: Korean11871380Mistral Medium 3.1
LMArena Text: French12761460Mistral Medium 3.1
LMArena Text: Spanish12601433Mistral Medium 3.1
LMArena Text: Russian12591411Mistral Medium 3.1
LMArena Text: Polish13021430Mistral Medium 3.1
LMArena Text: multi-turn12671418Mistral Medium 3.1
LMArena Text: longer queries12541406Mistral Medium 3.1
LMArena Text: writing and language12791395Mistral Medium 3.1
LMArena Text: entertainment and media12581390Mistral Medium 3.1
LMArena Vision: English10971179Mistral Medium 3.1
LMArena Vision: Chinese10451190Mistral Medium 3.1
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 Turbo and Mistral Medium 3.1
BenchmarkGPT-4 TurboMistral Medium 3.1Leader
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 Turbo$0.025Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

GPT-4 Turbo$0.590Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

GPT-4 Turbo$2.30Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 Turbo and Mistral Medium 3.1
SpecificationOpenAI GPT-4 TurboMistral Medium 3.1
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 9, 2024August 13, 2025
Context window128K131K
Input $/Mtok$10.00$0.40
Output $/Mtok$30.00$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 Turbo better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4 Turbo for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4 Turbo or Mistral Medium 3.1?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 Turbo or Mistral Medium 3.1?

Mistral Medium 3.1, with 131K tokens against 128K.

How many benchmarks is the GPT-4 Turbo vs Mistral Medium 3.1 comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. GPT-4 Turbo's coding index rests on 0 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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