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GPT-5.1 vs Mistral Medium 3.1

GPT-5.1 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 24.7 to 9.2, and Mistral Medium 3.1 costs 5.0x less per output token ($2.00 vs $10.00 per million). Updated October 21, 2026; 70 benchmarks have a result for both.

Replace GPT-5.1 Replace Mistral Medium 3.1
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
68
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
2
vs boards won of 70 shared

GPT-5.1 or Mistral Medium 3.1: which to pick

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 5.0x cheaper ($2.00 vs $10.00 per million) and work measured by Design Arena: 3D or LMArena Text: French, where it leads.

Model AGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
70
GPT-5.1 only
31
Mistral Medium 3.1 only
4
Like-for-like categories
8 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-5.1 40.4 from 3 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 41.2 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: GPT-5.1 94.0 against Mistral Medium 3.1 38.3, 55.7 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Mistral Medium 3.1 $2.00 per million output tokens, 5.0x apart.
Context window
GPT-5.1 takes 400K 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-5.1BarsMistral Medium 3.1Ties
Coding60
Intelligence10
Agentic work10
Reasoning80
Math60
Knowledge110
Web design71
General281
All shared boards682
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LMArena WebDev1396Not measuredOnly GPT-5.1 measured
AA Coding Index49.420.5GPT-5.1
LiveCodeBench (Vals AI)86.5%44.8%GPT-5.1
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.1 measured
Vibe Code Bench (Vals AI)24.6%Not measuredOnly GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)86.8%40.6%GPT-5.1
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)45.5%10.6%GPT-5.1
Terminal-Bench47.6%Not measuredOnly GPT-5.1 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%Not measuredOnly GPT-5.1 measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14531433GPT-5.1
LMArena Text: software and IT14541436GPT-5.1
LMArena WebDev: React1307Not measuredOnly GPT-5.1 measured
LMArena WebDev: HTML1405Not measuredOnly GPT-5.1 measured
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
AA Intelligence Index24.79.2GPT-5.1
Epoch Capabilities Index149.8Not measuredOnly GPT-5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom81.9%40.6%GPT-5.1
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
GPQA Diamond86.6%Not measuredOnly GPT-5.1 measured
MMMU Pro (Vals AI)83.2%63.0%GPT-5.1
GPQA Diamond (Artificial Analysis run)87.3%58.8%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)28.5%4.7%GPT-5.1
GPQA Diamond (Epoch AI run)87.6%Not measuredOnly GPT-5.1 measured
ARC-AGI72.8%Not measuredOnly GPT-5.1 measured
ARC-AGI-217.6%Not measuredOnly GPT-5.1 measured
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%Not measuredOnly GPT-5.1 measured
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571426GPT-5.1
LMArena Text: expert14701408GPT-5.1
LMArena Text: hard prompts in English14621435GPT-5.1
LMArena Vision: diagrams12641175GPT-5.1
LMArena Vision: homework12721165GPT-5.1
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
AIME93.3%42.3%GPT-5.1
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)93.0%90.9%GPT-5.1
AA Math Index94.038.3GPT-5.1
AIME 2025 (Artificial Analysis run)94.0%38.3%GPT-5.1
OTIS Mock AIME88.6%Not measuredOnly GPT-5.1 measured
LMArena Text: math14461408GPT-5.1
LMArena Text: mathematical work14491412GPT-5.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
MMLU Pro86.4%75.3%GPT-5.1
LegalBench (Vals AI)85.7%62.0%GPT-5.1
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%50.7%GPT-5.1
TaxEval (Vals AI)74.9%70.3%GPT-5.1
MortgageTax (Vals AI)61.4%36.5%GPT-5.1
MedQA (Vals AI)96.4%78.2%GPT-5.1
MedCode (Vals AI)52.7%Not measuredOnly GPT-5.1 measured
MMLU Pro (Artificial Analysis run)87.0%68.3%GPT-5.1
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591444GPT-5.1
LMArena Text: medicine and healthcare14561449GPT-5.1
LMArena Text: legal and government14591439GPT-5.1
LMArena Text: business and finance14311418GPT-5.1
FACTS Benchmark Suite45.0%Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
Design Arena: websites11871133GPT-5.1
Design Arena: UI components11661100GPT-5.1
Design Arena: game dev11791074GPT-5.1
Design Arena: data viz12041144GPT-5.1
Design Arena: 3D10611081Mistral Medium 3.1
Design Arena: all code categories11711120GPT-5.1
Design Arena: SVG1149993GPT-5.1
Design Arena: ASCII art1119997GPT-5.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral Medium 3.1Leader
SAGE (Vals AI)43.2%Not measuredOnly GPT-5.1 measured
MedScribe (Vals AI)88.1%Not measuredOnly GPT-5.1 measured
IFBench72.9%39.8%GPT-5.1
Long context reasoning (AA-LCR)80.0%42.7%GPT-5.1
DTBench90.1%67.5%GPT-5.1
LMCA43.9%19.1%GPT-5.1
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431424GPT-5.1
LMArena Text: instruction following14431398GPT-5.1
LMArena Text: creative writing14271391GPT-5.1
LMArena Vision12501172GPT-5.1
LMArena Text: English14511438GPT-5.1
LMArena Text: non-English14311408GPT-5.1
LMArena Text: Chinese14951447GPT-5.1
LMArena Text: German14381432GPT-5.1
LMArena Text: Japanese14531379GPT-5.1
LMArena Text: Korean14011380GPT-5.1
LMArena Text: French14501460Mistral Medium 3.1
LMArena Text: Spanish14331433GPT-5.1
LMArena Text: Russian14351411GPT-5.1
LMArena Text: Polish14401430GPT-5.1
LMArena Text: multi-turn14501418GPT-5.1
LMArena Text: longer queries14481406GPT-5.1
LMArena Text: writing and language14281395GPT-5.1
LMArena Text: entertainment and media14151390GPT-5.1
LMArena Vision: English12521179GPT-5.1
LMArena Vision: Chinese12701190GPT-5.1
LMArena Vision: reading text12551175GPT-5.1
LMArena Vision: humor12631168GPT-5.1
LMArena Vision: captioning12521145GPT-5.1
LMArena Vision: recognizing things12321147GPT-5.1
LMArena Vision: creative writing12661200GPT-5.1
LMArena Document1403Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1 and Mistral Medium 3.1
BenchmarkGPT-5.1Mistral 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-5.1$0.0063Fits 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-5.1$0.092Fits 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-5.1$0.350Fits in one request
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-5.1 and Mistral Medium 3.1
SpecificationOpenAI GPT-5.1Mistral Medium 3.1
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 13, 2025August 13, 2025
Context window400K131K
Input $/Mtok$1.25$0.40
Output $/Mtok$10.00$2.00
Coding index40.4Not benchmarked
Independent measurements behind it30
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Mistral Medium 3.1 for coding?

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 5.0x cheaper ($2.00 vs $10.00 per million) and work measured by Design Arena: 3D or LMArena Text: French, where it leads.

Which is cheaper, GPT-5.1 or Mistral Medium 3.1?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-5.1 or Mistral Medium 3.1?

GPT-5.1, with 400K tokens against 131K.

How many benchmarks is the GPT-5.1 vs Mistral Medium 3.1 comparison based on?

70 benchmarks have a result for both models as of October 21, 2026. GPT-5.1's coding index rests on 3 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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