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gpt-oss-20b vs Mistral Medium 3.1

gpt-oss-20b leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 10.0 to 9.2, and gpt-oss-20b costs 13.3x less per output token ($0.15 vs $2.00 per million). Updated October 21, 2026; 53 benchmarks have a result for both.

Replace gpt-oss-20b Replace Mistral Medium 3.1
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
18
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
34
vs boards won of 53 shared, 1 tied

gpt-oss-20b 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-oss-20b for output tokens 13.3x cheaper ($0.15 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model Agpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
53
gpt-oss-20b only
9
Mistral Medium 3.1 only
21
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-oss-20b not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Web design, 30.8 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: gpt-oss-20b 89.3 against Mistral Medium 3.1 38.3, 51.0 points apart on a 0 to 100 scale.
Output price
gpt-oss-20b $0.15 against Mistral Medium 3.1 $2.00 per million output tokens, 13.3x apart.
Context window
Both take 131K tokens.

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-oss-20bBarsMistral Medium 3.1Ties
Coding421 tie
Intelligence10
Agentic work10
Reasoning23
Math43
Knowledge46
Web design02
General218
All shared boards18341 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index42
Coding benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)80.4%44.8%gpt-oss-20b
LiveCodeBench (Artificial Analysis run)77.7%40.6%gpt-oss-20b
SciCode38.9%32.4%gpt-oss-20b
Terminal-Bench Hard (Artificial Analysis run)10.6%10.6%Tie
Terminal-Bench3.4%Not measuredOnly gpt-oss-20b measured
WeirdML40.9%Not measuredOnly gpt-oss-20b measured
ALE-Bench566.0210.2gpt-oss-20b
LMArena Text: coding13071433Mistral Medium 3.1
LMArena Text: software and IT13111436Mistral Medium 3.1
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
AA Intelligence Index10.09.2gpt-oss-20b
Epoch Capabilities Index137.7Not measuredOnly gpt-oss-20b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom60.2%40.6%gpt-oss-20b
BrowseComp-Plus50.6%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
GPQA Diamond68.9%Not measuredOnly gpt-oss-20b measured
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)68.8%58.8%gpt-oss-20b
Humanity's Last Exam (Artificial Analysis run)11.0%4.7%gpt-oss-20b
GPQA Diamond (Epoch AI run)60.8%Not measuredOnly gpt-oss-20b measured
LMArena Text: hard prompts12741426Mistral Medium 3.1
LMArena Text: expert12581408Mistral Medium 3.1
LMArena Text: hard prompts in English12921435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Kagi LLM Benchmark53.2%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index43
Math benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
AIME86.0%42.3%gpt-oss-20b
MATH 500 (Vals AI)94.2%87.0%gpt-oss-20b
MGSM (Vals AI)89.0%90.9%Mistral Medium 3.1
AA Math Index89.338.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)89.3%38.3%gpt-oss-20b
OTIS Mock AIME65.3%Not measuredOnly gpt-oss-20b measured
LMArena Text: math13171408Mistral Medium 3.1
LMArena Text: mathematical work13051412Mistral Medium 3.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
Knowledge benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
MMLU Pro71.6%75.3%Mistral Medium 3.1
LegalBench (Vals AI)70.8%62.0%gpt-oss-20b
CaseLaw (Vals AI)43.8%Not measuredOnly gpt-oss-20b measured
CorpFin (Vals AI)53.1%50.7%gpt-oss-20b
TaxEval (Vals AI)63.7%70.3%Mistral Medium 3.1
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)82.9%78.2%gpt-oss-20b
MMLU Pro (Artificial Analysis run)74.8%68.3%gpt-oss-20b
LMArena Text: science12961444Mistral Medium 3.1
LMArena Text: medicine and healthcare13101449Mistral Medium 3.1
LMArena Text: legal and government12801439Mistral Medium 3.1
LMArena Text: business and finance12841418Mistral 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 index02
Web design benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
Design Arena: websites8521133Mistral Medium 3.1
Design Arena: UI componentsNot measured1100Only Mistral Medium 3.1 measured
Design Arena: game devNot measured1074Only Mistral Medium 3.1 measured
Design Arena: data viz9331144Mistral Medium 3.1
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categoriesNot measured1120Only Mistral Medium 3.1 measured
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 index218
General benchmarks for gpt-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral Medium 3.1Leader
IFBench65.1%39.8%gpt-oss-20b
Long context reasoning (AA-LCR)34.7%42.7%Mistral Medium 3.1
DTBench68.0%67.5%gpt-oss-20b
LMCA14.5%19.1%Mistral Medium 3.1
LMArena Text12881424Mistral Medium 3.1
LMArena Text: instruction following12361398Mistral Medium 3.1
LMArena Text: creative writing12011391Mistral Medium 3.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English13031438Mistral Medium 3.1
LMArena Text: non-English12691408Mistral Medium 3.1
LMArena Text: Chinese13151447Mistral Medium 3.1
LMArena Text: German12551432Mistral Medium 3.1
LMArena Text: Japanese12441379Mistral Medium 3.1
LMArena Text: Korean12361380Mistral Medium 3.1
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: Spanish12671433Mistral Medium 3.1
LMArena Text: Russian12781411Mistral Medium 3.1
LMArena Text: Polish12521430Mistral Medium 3.1
LMArena Text: multi-turn12681418Mistral Medium 3.1
LMArena Text: longer queries12501406Mistral Medium 3.1
LMArena Text: writing and language12381395Mistral Medium 3.1
LMArena Text: entertainment and media12161390Mistral Medium 3.1
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
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-oss-20b and Mistral Medium 3.1
Benchmarkgpt-oss-20bMistral 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-oss-20b$0.0001Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

gpt-oss-20b$0.0019Fits in one request
Mistral Medium 3.1$0.026Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-20b$0.0075Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

gpt-oss-20b 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-oss-20b and Mistral Medium 3.1
SpecificationOpenAI gpt-oss-20bMistral Medium 3.1
MakerOpenAIMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 5, 2025August 13, 2025
Context window131K131K
Input $/Mtok$0.03$0.40
Output $/Mtok$0.15$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-20b 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-oss-20b for output tokens 13.3x cheaper ($0.15 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, gpt-oss-20b or Mistral Medium 3.1?

gpt-oss-20b costs $0.03 per million input tokens and $0.15 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-oss-20b or Mistral Medium 3.1?

Neither: both take 131K tokens.

How many benchmarks is the gpt-oss-20b vs Mistral Medium 3.1 comparison based on?

53 benchmarks have a result for both models as of October 21, 2026. gpt-oss-20b'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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