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GPT-6.1 Sol vs Mistral Large 4

Updated October 21, 2026. 76 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-6.1 Sol Replace Mistral Large 4
GPT-6.1 SolOpenAI
Coding
88.7
Overall
51.8
Output $/M
$10.00
67
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
9
vs boards won of 76 shared

Decision reading

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 55.3 for Mistral Large 4.

Pick Mistral Large 4 when output tokens cost 2.4x less, or when what matters is LMArena Text: coding or Finance Agent (Vals AI), where it leads.

Model AGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved taskModel BMistral Large 4Mistral AI55.3/1002 independent benchmarksNo cost per solved task
Shared results
76
GPT-6.1 Sol only
19
Mistral Large 4 only
5
Like-for-like categories
8 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-6.1 Sol 88.7 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Math, 35.1 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: GPT-6.1 Sol 99.0% against Mistral Large 4 10.0%, 89.0 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against Mistral Large 4 $4.18 per million output tokens, 2.4x apart.
Context window
GPT-6.1 Sol takes 1.05M tokens, Mistral Large 4 1.05M.

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-6.1 SolBarsMistral Large 4Ties
Coding131
Intelligence20
Agentic work63
Reasoning100
Math60
Knowledge51
Web design70
General184
All shared boards679
CodingLike-for-likeFour of these boards feed the Vibe Coding Index131
Coding benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
LiveBench coding96.0%60.0%GPT-6.1 Sol
LMArena WebDev17531543GPT-6.1 Sol
Terminal-Bench 4 (Vals AI)55.0%27.8%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%78.4%GPT-6.1 Sol
Code migration (Vals AI)65.1%30.6%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%Not measuredOnly GPT-6.1 Sol measured
IOI (Vals AI)96.9%45.3%GPT-6.1 Sol
SWE-bench Multimodal (Vals AI)43.5%33.1%GPT-6.1 Sol
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
CyberBench (Vals AI)39.3%Not measuredOnly GPT-6.1 Sol measured
SciCode55.8%54.2%GPT-6.1 Sol
FrontierCode50.2%39.4%GPT-6.1 Sol
ALE-Bench2743.81213.2GPT-6.1 Sol
LMArena Text: coding14781478Mistral Large 4
LMArena Text: software and IT14761467GPT-6.1 Sol
LMArena WebDev: React17541559GPT-6.1 Sol
LMArena WebDev: HTML18001487GPT-6.1 Sol
LMArena WebDev: from an image1702Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
AA Intelligence Index51.838.4GPT-6.1 Sol
Epoch Capabilities Index168.4150.0GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index63
Agentic work benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
Design Arena: agents building mobile apps1190Not measuredOnly GPT-6.1 Sol measured
Design Arena: spreadsheets1250Not measuredOnly GPT-6.1 Sol measured
LiveBench research83.5%28.1%GPT-6.1 Sol
LiveBench browser88.0%8.0%GPT-6.1 Sol
LiveBench long agentic73.0%11.8%GPT-6.1 Sol
SREBench (Vals AI)50.8%Not measuredOnly GPT-6.1 Sol measured
Finance Agent (Vals AI)52.0%54.7%Mistral Large 4
Tax Agent Bench (Vals AI)21.8%30.4%Mistral Large 4
Legal Research Bench (Vals AI)38.5%31.7%GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)6.3%17.5%Mistral Large 4
Excel Modeling Benchmark (Vals AI)70.8%56.2%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%67.0%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)52.9%Not measuredOnly GPT-6.1 Sol measured
Vals Science Index59.6%Not measuredOnly GPT-6.1 Sol measured
Robo-bench (Vals AI)28.3%Not measuredOnly GPT-6.1 Sol measured
APEX-Agents60.0%Not measuredOnly GPT-6.1 Sol measured
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
LiveBench reasoning92.6%83.9%GPT-6.1 Sol
MysteryMechanism (Vals AI)46.4%12.2%GPT-6.1 Sol
Humanity's Last Exam (Artificial Analysis run)52.9%35.0%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%88.1%GPT-6.1 Sol
ARC-AGI98.5%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI-294.2%Not measuredOnly GPT-6.1 Sol measured
Chess puzzles68.0%33.0%GPT-6.1 Sol
Mystery game puzzles80.0%17.0%GPT-6.1 Sol
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631444GPT-6.1 Sol
LMArena Text: expert14891444GPT-6.1 Sol
LMArena Text: hard prompts in English14651442GPT-6.1 Sol
LMArena Vision: diagrams13061288GPT-6.1 Sol
LMArena Vision: homework1356Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
OTIS Mock AIME100.0%98.3%GPT-6.1 Sol
FrontierMath, tiers 1 to 393.7%58.6%GPT-6.1 Sol
FrontierMath, tier 4100.0%26.8%GPT-6.1 Sol
ProofBench99.0%10.0%GPT-6.1 Sol
LMArena Text: math14891469GPT-6.1 Sol
LMArena Text: mathematical work15131462GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
Knowledge benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
MedCode (Vals AI)48.8%40.7%GPT-6.1 Sol
SimpleQA Verified73.9%20.0%GPT-6.1 Sol
LMArena Text: science14441448Mistral Large 4
LMArena Text: medicine and healthcare14331433GPT-6.1 Sol
LMArena Text: legal and government14711425GPT-6.1 Sol
LMArena Text: business and finance14451439GPT-6.1 Sol
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
Design Arena: websites13211258GPT-6.1 Sol
Design Arena: UI components13211275GPT-6.1 Sol
Design Arena: game dev13891226GPT-6.1 Sol
Design Arena: data viz12781274GPT-6.1 Sol
Design Arena: 3D14611253GPT-6.1 Sol
Design Arena: all code categories13451259GPT-6.1 Sol
Design Arena: SVGNot measured1232Only Mistral Large 4 measured
Design Arena: ASCII artNot measured1203Only Mistral Large 4 measured
LiveBench design82.1%65.6%GPT-6.1 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index184
General benchmarks for GPT-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
Vals Index63.9%Not measuredOnly GPT-6.1 Sol measured
LiveBench data analysis82.7%76.5%GPT-6.1 Sol
Public Benefits Bench (Vals AI)59.3%Not measuredOnly GPT-6.1 Sol measured
SAGE (Vals AI)46.5%Not measuredOnly GPT-6.1 Sol measured
MedScribe (Vals AI)86.5%80.4%GPT-6.1 Sol
Long context reasoning (AA-LCR)84.0%81.3%GPT-6.1 Sol
DTBench96.5%88.2%GPT-6.1 Sol
LMCA62.8%35.8%GPT-6.1 Sol
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assembly80.0%20.8%GPT-6.1 Sol
LMArena Text14431431GPT-6.1 Sol
LMArena Text: instruction following14661422GPT-6.1 Sol
LMArena Text: creative writing14251363GPT-6.1 Sol
LMArena Vision12881272GPT-6.1 Sol
LMArena Text: English14501433GPT-6.1 Sol
LMArena Text: non-English14331422GPT-6.1 Sol
LMArena Text: Chinese14871492Mistral Large 4
LMArena Text: JapaneseNot measured1415Only Mistral Large 4 measured
LMArena Text: French14601492Mistral Large 4
LMArena Text: Spanish14391455Mistral Large 4
LMArena Text: Russian14571417GPT-6.1 Sol
LMArena Text: multi-turn14421435GPT-6.1 Sol
LMArena Text: longer queries14581428GPT-6.1 Sol
LMArena Text: writing and language14441386GPT-6.1 Sol
LMArena Text: entertainment and media14261378GPT-6.1 Sol
LMArena Vision: English12741283Mistral Large 4
LMArena Vision: reading text12891284GPT-6.1 Sol
LMArena Vision: creative writing1301Not measuredOnly GPT-6.1 Sol 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-6.1 Sol and Mistral Large 4
BenchmarkGPT-6.1 SolMistral Large 4Leader
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-6.1 Sol$0.0070Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits in one request
Mistral Large 4$0.314Fits in one request

Mistral Large 4 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-6.1 Sol and Mistral Large 4
SpecificationOpenAI GPT-6.1 SolMistral Large 4
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.36
Output $/Mtok$10.00$4.18
Coding index88.755.3
Independent measurements behind it22
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than Mistral Large 4 for coding?

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 55.3 for Mistral Large 4. Pick Mistral Large 4 when output tokens cost 2.4x less, or when what matters is LMArena Text: coding or Finance Agent (Vals AI), where it leads.

Which is cheaper, GPT-6.1 Sol or Mistral Large 4?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-6.1 Sol or Mistral Large 4?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6.1 Sol vs Mistral Large 4 comparison based on?

76 benchmarks have a result for both models as of October 21, 2026. GPT-6.1 Sol's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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