Enter opens the highlighted result. Esc closes.

Llama 4 Scout vs Mistral Medium 3.1

Mistral Medium 3.1 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 9.2 to 6.5, and Llama 4 Scout costs 4.0x less per output token ($0.50 vs $2.00 per million). Updated October 21, 2026; 68 benchmarks have a result for both.

Replace Llama 4 Scout Replace Mistral Medium 3.1
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
3
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
65
vs boards won of 68 shared

Llama 4 Scout or Mistral Medium 3.1: which to pick

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

Pick Llama 4 Scout for output tokens 4.0x cheaper ($0.50 vs $2.00 per million) and a larger context window (1.31M against 131K tokens).

Model ALlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
68
Llama 4 Scout only
14
Mistral Medium 3.1 only
6
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
Llama 4 Scout not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Web design, 39.9 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: Llama 4 Scout 750 against Mistral Medium 3.1 1133, 47.9 points apart on a 0 to 100 scale.
Output price
Llama 4 Scout $0.50 against Mistral Medium 3.1 $2.00 per million output tokens, 4.0x apart.
Context window
Llama 4 Scout takes 1.31M 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
CategoryLlama 4 ScoutBarsMistral Medium 3.1Ties
Coding07
Intelligence01
Agentic work02
Reasoning08
Math07
Knowledge38
Web design05
General027
All shared boards365
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
SWE-bench Verified9.1%Not measuredOnly Llama 4 Scout measured
AA Coding Index8.220.5Mistral Medium 3.1
LiveCodeBench (Vals AI)38.5%44.8%Mistral Medium 3.1
LiveCodeBench (Artificial Analysis run)29.9%40.6%Mistral Medium 3.1
SciCode21.3%32.4%Mistral Medium 3.1
Terminal-Bench Hard (Artificial Analysis run)1.5%10.6%Mistral Medium 3.1
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding12861433Mistral Medium 3.1
LMArena Text: software and IT12861436Mistral Medium 3.1
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
AA Intelligence Index6.59.2Mistral Medium 3.1
Epoch Capabilities Index129.6Not measuredOnly Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
AA Agentic Index0.51.9Mistral Medium 3.1
τ²-Bench Telecom15.5%40.6%Mistral Medium 3.1
Berkeley Function Calling Leaderboard (BFCL)28.1%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
GPQA Diamond47.0%Not measuredOnly Llama 4 Scout measured
MMMU Pro (Vals AI)58.8%63.0%Mistral Medium 3.1
GPQA Diamond (Artificial Analysis run)58.7%58.8%Mistral Medium 3.1
Humanity's Last Exam (Artificial Analysis run)3.8%4.7%Mistral Medium 3.1
GPQA Diamond (Epoch AI run)51.8%Not measuredOnly Llama 4 Scout measured
ARC-AGI0.5%Not measuredOnly Llama 4 Scout measured
ARC-AGI-20.0%Not measuredOnly Llama 4 Scout measured
LMArena Text: hard prompts12661426Mistral Medium 3.1
LMArena Text: expert12351408Mistral Medium 3.1
LMArena Text: hard prompts in English12931435Mistral Medium 3.1
LMArena Vision: diagrams11251175Mistral Medium 3.1
LMArena Vision: homework11481165Mistral Medium 3.1
Kagi LLM Benchmark36.9%Not measuredOnly Llama 4 Scout measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
AIME19.0%42.3%Mistral Medium 3.1
MATH 500 (Vals AI)79.2%87.0%Mistral Medium 3.1
MGSM (Vals AI)88.0%90.9%Mistral Medium 3.1
AA Math Index14.038.3Mistral Medium 3.1
AIME 2025 (Artificial Analysis run)14.0%38.3%Mistral Medium 3.1
OTIS Mock AIME7.8%Not measuredOnly Llama 4 Scout measured
MATH level 562.3%Not measuredOnly Llama 4 Scout measured
LMArena Text: math12871408Mistral Medium 3.1
LMArena Text: mathematical work12861412Mistral Medium 3.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index38
Knowledge benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
MMLU Pro69.6%75.3%Mistral Medium 3.1
LegalBench (Vals AI)72.0%62.0%Llama 4 Scout
CorpFin (Vals AI)46.8%50.7%Mistral Medium 3.1
TaxEval (Vals AI)55.2%70.3%Mistral Medium 3.1
MortgageTax (Vals AI)57.8%36.5%Llama 4 Scout
MedQA (Vals AI)50.9%78.2%Mistral Medium 3.1
MedCode (Vals AI)23.3%Not measuredOnly Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)75.2%68.3%Llama 4 Scout
LMArena Text: science12781444Mistral Medium 3.1
LMArena Text: medicine and healthcare12751449Mistral Medium 3.1
LMArena Text: legal and government12851439Mistral Medium 3.1
LMArena Text: business and finance12571418Mistral Medium 3.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
Design Arena: websites7501133Mistral Medium 3.1
Design Arena: UI components7681100Mistral Medium 3.1
Design Arena: game dev7731074Mistral Medium 3.1
Design Arena: data viz8961144Mistral Medium 3.1
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categories7901120Mistral Medium 3.1
Design Arena: SVGNot measured993Only 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 index027
General benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral Medium 3.1Leader
SAGE (Vals AI)34.8%Not measuredOnly Llama 4 Scout measured
MedScribe (Vals AI)50.6%Not measuredOnly Llama 4 Scout measured
IFBench39.5%39.8%Mistral Medium 3.1
Long context reasoning (AA-LCR)27.7%42.7%Mistral Medium 3.1
DTBench57.9%67.5%Mistral Medium 3.1
LMCA12.0%19.1%Mistral Medium 3.1
Fiction.LiveBench36.0%Not measuredOnly Llama 4 Scout measured
LMArena Text12791424Mistral Medium 3.1
LMArena Text: instruction following12481398Mistral Medium 3.1
LMArena Text: creative writing12491391Mistral Medium 3.1
LMArena Vision11181172Mistral Medium 3.1
LMArena Text: English13041438Mistral Medium 3.1
LMArena Text: non-English12521408Mistral Medium 3.1
LMArena Text: Chinese12551447Mistral Medium 3.1
LMArena Text: German12731432Mistral Medium 3.1
LMArena Text: Japanese12061379Mistral Medium 3.1
LMArena Text: Korean12071380Mistral Medium 3.1
LMArena Text: French12831460Mistral Medium 3.1
LMArena Text: Spanish12781433Mistral Medium 3.1
LMArena Text: Russian12631411Mistral Medium 3.1
LMArena Text: Polish12651430Mistral Medium 3.1
LMArena Text: multi-turn12801418Mistral Medium 3.1
LMArena Text: longer queries12651406Mistral Medium 3.1
LMArena Text: writing and language12691395Mistral Medium 3.1
LMArena Text: entertainment and media12421390Mistral Medium 3.1
LMArena Vision: English11431179Mistral Medium 3.1
LMArena Vision: Chinese11061190Mistral Medium 3.1
LMArena Vision: reading text11171175Mistral Medium 3.1
LMArena Vision: humor11021168Mistral Medium 3.1
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writing11261200Mistral Medium 3.1
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Llama 4 Scout and Mistral Medium 3.1
BenchmarkLlama 4 ScoutMistral 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

Llama 4 Scout$0.0004Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Llama 4 Scout$0.010Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Llama 4 Scout$0.040Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Llama 4 Scout 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 Llama 4 Scout and Mistral Medium 3.1
SpecificationMeta Llama 4 ScoutMistral Medium 3.1
MakerMeta LlamaMistral AI
WeightsOpen weightsNo public weights listed
ReleasedApril 5, 2025August 13, 2025
Context window1.31M131K
Input $/Mtok$0.175$0.40
Output $/Mtok$0.50$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.276Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Scout better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 4.0x cheaper ($0.50 vs $2.00 per million) and a larger context window (1.31M against 131K tokens).

Which is cheaper, Llama 4 Scout or Mistral Medium 3.1?

Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Llama 4 Scout or Mistral Medium 3.1?

Llama 4 Scout, with 1.31M tokens against 131K.

How many benchmarks is the Llama 4 Scout vs Mistral Medium 3.1 comparison based on?

68 benchmarks have a result for both models as of October 21, 2026. Llama 4 Scout'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.

Compare next