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GPT-5.6 Terra vs Mistral Large 4

GPT-5.6 Terra leads Mistral Large 4 on coding, 63.9 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 2.9x less per output token ($4.18 vs $12.00 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

Replace GPT-5.6 Terra Replace Mistral Large 4
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
58
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
19
vs boards won of 77 shared

GPT-5.6 Terra or Mistral Large 4: which to pick

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 56.4 for Mistral Large 4.

Pick Mistral Large 4 for output tokens 2.9x cheaper ($4.18 vs $12.00 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Model AGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
77
GPT-5.6 Terra only
50
Mistral Large 4 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-5.6 Terra 63.9 from 6 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 23.6 points apart on average over 7 shared benchmarks.
Widest single gap
LiveBench browser: GPT-5.6 Terra 84.0% against Mistral Large 4 8.0%, 76.0 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Terra $12.00 against Mistral Large 4 $4.18 per million output tokens, 2.9x apart.
Context window
GPT-5.6 Terra 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-5.6 TerraBarsMistral Large 4Ties
Coding104
Intelligence20
Agentic work52
Reasoning90
Math51
Knowledge51
Web design36
General195
All shared boards5819
CodingLike-for-likeSix of these boards feed the Vibe Coding Index104
Coding benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
LiveBench coding86.2%60.0%GPT-5.6 Terra
LMArena WebDev15221543Mistral Large 4
AA Coding Index76.7Not measuredOnly GPT-5.6 Terra measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GPT-5.6 Terra measured
Terminal-Bench 4 (Vals AI)22.7%27.8%Mistral Large 4
Vibe Code Bench (Vals AI)74.6%78.4%Mistral Large 4
Code migration (Vals AI)47.8%30.6%GPT-5.6 Terra
ProgramBench (Vals AI)0.5%Not measuredOnly GPT-5.6 Terra measured
IOI (Vals AI)87.6%45.3%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)77.5%Not measuredOnly GPT-5.6 Terra measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)14.8%14.3%GPT-5.6 Terra
SkillsBench (Vals AI)58.9%Not measuredOnly GPT-5.6 Terra measured
CyberBench (Vals AI)72.1%Not measuredOnly GPT-5.6 Terra measured
SciCode55.0%54.2%GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly GPT-5.6 Terra measured
FrontierCode41.3%39.4%GPT-5.6 Terra
WeirdML78.3%Not measuredOnly GPT-5.6 Terra measured
ALE-Bench1951.41213.2GPT-5.6 Terra
LMArena Text: coding14851478GPT-5.6 Terra
LMArena Text: software and IT14821467GPT-5.6 Terra
LMArena WebDev: React15131559Mistral Large 4
LMArena WebDev: HTML15261487GPT-5.6 Terra
LMArena WebDev: from an image1541Not measuredOnly GPT-5.6 Terra measured
SciCode10.8%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
AA Intelligence Index42.138.4GPT-5.6 Terra
Epoch Capabilities Index160.1150.0GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
Agentic work benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
AA Agentic Index43.2Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building web apps1120Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building full-stack apps1061Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building mobile apps1111Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building Android apps1061Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building games1083Not measuredOnly GPT-5.6 Terra measured
Design Arena: HTML slides1057Not measuredOnly GPT-5.6 Terra measured
Design Arena: PowerPoint slides1107Not measuredOnly GPT-5.6 Terra measured
LiveBench research60.4%28.1%GPT-5.6 Terra
LiveBench browser84.0%8.0%GPT-5.6 Terra
LiveBench long agentic48.4%11.8%GPT-5.6 Terra
SREBench (Vals AI)9.5%Not measuredOnly GPT-5.6 Terra measured
Finance Agent (Vals AI)54.4%54.7%Mistral Large 4
Tax Agent Bench (Vals AI)30.0%30.4%Mistral Large 4
Legal Research Bench (Vals AI)41.4%31.7%GPT-5.6 Terra
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)66.2%56.2%GPT-5.6 Terra
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly GPT-5.6 Terra measured
τ²-Bench Telecom86.3%Not measuredOnly GPT-5.6 Terra measured
APEX-Agents58.2%Not measuredOnly GPT-5.6 Terra measured
BALROG53.2%Not measuredOnly GPT-5.6 Terra measured
Vending-Bench 2$7,343Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
GPQA Diamond90.9%Not measuredOnly GPT-5.6 Terra measured
LiveBench reasoning90.6%83.9%GPT-5.6 Terra
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)86.5%Not measuredOnly GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)92.5%Not measuredOnly GPT-5.6 Terra measured
Humanity's Last Exam (Artificial Analysis run)42.9%35.0%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)93.3%88.1%GPT-5.6 Terra
ARC-AGI96.5%Not measuredOnly GPT-5.6 Terra measured
ARC-AGI-283.9%Not measuredOnly GPT-5.6 Terra measured
SimpleBench48.9%Not measuredOnly GPT-5.6 Terra measured
Chess puzzles47.0%33.0%GPT-5.6 Terra
Mystery game puzzles35.0%17.0%GPT-5.6 Terra
LMArena Text: hard prompts14691444GPT-5.6 Terra
LMArena Text: expert14961444GPT-5.6 Terra
LMArena Text: hard prompts in English14651442GPT-5.6 Terra
LMArena Vision: diagrams12951288GPT-5.6 Terra
LMArena Vision: homework1312Not measuredOnly GPT-5.6 Terra measured
Kagi LLM Benchmark51.3%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
OTIS Mock AIME99.7%98.3%GPT-5.6 Terra
FrontierMath, tiers 1 to 386.0%58.6%GPT-5.6 Terra
FrontierMath, tier 470.7%26.8%GPT-5.6 Terra
ProofBench74.0%10.0%GPT-5.6 Terra
LMArena Text: math14651469Mistral Large 4
LMArena Text: mathematical work14781462GPT-5.6 Terra
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-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
MMLU Pro86.7%Not measuredOnly GPT-5.6 Terra measured
LegalBench (Vals AI)85.1%Not measuredOnly GPT-5.6 Terra measured
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.6 Terra measured
TaxEval (Vals AI)76.2%Not measuredOnly GPT-5.6 Terra measured
MortgageTax (Vals AI)67.3%Not measuredOnly GPT-5.6 Terra measured
MedCode (Vals AI)43.4%40.7%GPT-5.6 Terra
SimpleQA Verified43.2%20.0%GPT-5.6 Terra
LMArena Text: science14521448GPT-5.6 Terra
LMArena Text: medicine and healthcare14301433Mistral Large 4
LMArena Text: legal and government14611425GPT-5.6 Terra
LMArena Text: business and finance14481439GPT-5.6 Terra
FACTS Benchmark Suite52.0%Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index36
Web design benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
Design Arena: websites12681258GPT-5.6 Terra
Design Arena: UI components12561273Mistral Large 4
Design Arena: game dev12291225GPT-5.6 Terra
Design Arena: data viz12401275Mistral Large 4
Design Arena: 3D11341252Mistral Large 4
Design Arena: all code categories12401259Mistral Large 4
Design Arena: SVG12191232Mistral Large 4
Design Arena: ASCII art11781202Mistral Large 4
LiveBench design76.0%65.6%GPT-5.6 Terra
GeneralLike-for-likePublic boards, shown as published, kept out of the index195
General benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral Large 4Leader
LiveBench data analysis79.3%76.5%GPT-5.6 Terra
Public Benefits Bench (Vals AI)62.4%Not measuredOnly GPT-5.6 Terra measured
SAGE (Vals AI)47.0%Not measuredOnly GPT-5.6 Terra measured
MedScribe (Vals AI)82.9%80.4%GPT-5.6 Terra
Vals Multimodal Index65.1%Not measuredOnly GPT-5.6 Terra measured
IFBench71.2%Not measuredOnly GPT-5.6 Terra measured
Long context reasoning (AA-LCR)83.0%81.3%GPT-5.6 Terra
DTBench93.3%88.2%GPT-5.6 Terra
LMCA54.9%35.8%GPT-5.6 Terra
Surface Evolver Bench83.8%28.1%GPT-5.6 Terra
Furniture assembly54.2%20.8%GPT-5.6 Terra
LMArena Text14481431GPT-5.6 Terra
LMArena Text: instruction following14561422GPT-5.6 Terra
LMArena Text: creative writing14131363GPT-5.6 Terra
LMArena Vision12711272Mistral Large 4
LMArena Text: English14491433GPT-5.6 Terra
LMArena Text: non-English14411422GPT-5.6 Terra
LMArena Text: Chinese15141492GPT-5.6 Terra
LMArena Text: German1460Not measuredOnly GPT-5.6 Terra measured
LMArena Text: Japanese14541415GPT-5.6 Terra
LMArena Text: Korean1427Not measuredOnly GPT-5.6 Terra measured
LMArena Text: French14661492Mistral Large 4
LMArena Text: Spanish14511455Mistral Large 4
LMArena Text: Russian14521417GPT-5.6 Terra
LMArena Text: Polish1446Not measuredOnly GPT-5.6 Terra measured
LMArena Text: multi-turn14531435GPT-5.6 Terra
LMArena Text: longer queries14541428GPT-5.6 Terra
LMArena Text: writing and language14311386GPT-5.6 Terra
LMArena Text: entertainment and media14181378GPT-5.6 Terra
LMArena Vision: English12721283Mistral Large 4
LMArena Vision: Chinese1337Not measuredOnly GPT-5.6 Terra measured
LMArena Vision: reading text12781284Mistral Large 4
LMArena Vision: humor1236Not measuredOnly GPT-5.6 Terra measured
LMArena Vision: creative writing1248Not measuredOnly GPT-5.6 Terra measured
LMArena Document1472Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.6 Terra and Mistral Large 4
BenchmarkGPT-5.6 TerraMistral 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-5.6 Terra$0.0080Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Terra$0.136Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Terra$0.520Fits 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-5.6 Terra and Mistral Large 4
SpecificationOpenAI GPT-5.6 TerraMistral Large 4
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.36
Output $/Mtok$12.00$4.18
Coding index63.956.4
Independent measurements behind it65
Cost per solved task$0.42Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Terra better than Mistral Large 4 for coding?

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for output tokens 2.9x cheaper ($4.18 vs $12.00 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, GPT-5.6 Terra or Mistral Large 4?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for GPT-5.6 Terra only.

Which has the bigger context window, GPT-5.6 Terra or Mistral Large 4?

GPT-5.6 Terra, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-5.6 Terra vs Mistral Large 4 comparison based on?

77 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Terra's coding index rests on 6 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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