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gpt-oss-20b vs Mistral Small 3

gpt-oss-20b leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 10.0 to 6.7, and Mistral Small 3 costs 1.9x less per output token ($0.08 vs $0.15 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace gpt-oss-20b Replace Mistral Small 3
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
35
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
0
vs boards won of 35 shared

gpt-oss-20b or Mistral Small 3: which to pick

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

Pick gpt-oss-20b for a larger context window (131K against 33K tokens).

Model Agpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
gpt-oss-20b only
27
Mistral Small 3 only
1
Like-for-like categories
7 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 Small 3 not benchmarked.
Widest category
Math, 48.3 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: gpt-oss-20b 89.3 against Mistral Small 3 4.3, 85.0 points apart on a 0 to 100 scale.
Output price
gpt-oss-20b $0.15 against Mistral Small 3 $0.08 per million output tokens, 1.9x apart.
Context window
gpt-oss-20b takes 131K tokens, Mistral Small 3 33K.

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 Small 3Ties
Coding30
Intelligence10
Agentic work10
Reasoning50
Math40
Knowledge50
General160
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
LiveCodeBench (Vals AI)80.4%Not measuredOnly gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)77.7%25.2%gpt-oss-20b
SciCode38.9%Not measuredOnly gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)10.6%Not measuredOnly gpt-oss-20b measured
Terminal-Bench3.4%Not measuredOnly gpt-oss-20b measured
WeirdML40.9%Not measuredOnly gpt-oss-20b measured
ALE-Bench566.0Not measuredOnly gpt-oss-20b measured
LMArena Text: coding13071246gpt-oss-20b
LMArena Text: software and IT13111248gpt-oss-20b
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
AA Intelligence Index10.06.7gpt-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 Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
τ²-Bench Telecom60.2%19.6%gpt-oss-20b
BrowseComp-Plus50.6%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
GPQA Diamond68.9%Not measuredOnly gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)68.8%46.2%gpt-oss-20b
Humanity's Last Exam (Artificial Analysis run)11.0%3.8%gpt-oss-20b
GPQA Diamond (Epoch AI run)60.8%Not measuredOnly gpt-oss-20b measured
LMArena Text: hard prompts12741233gpt-oss-20b
LMArena Text: expert12581202gpt-oss-20b
LMArena Text: hard prompts in English12921243gpt-oss-20b
Kagi LLM Benchmark53.2%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
AIME86.0%Not measuredOnly gpt-oss-20b measured
MATH 500 (Vals AI)94.2%Not measuredOnly gpt-oss-20b measured
MGSM (Vals AI)89.0%Not measuredOnly gpt-oss-20b measured
AA Math Index89.34.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)89.3%4.3%gpt-oss-20b
OTIS Mock AIME65.3%Not measuredOnly gpt-oss-20b measured
LMArena Text: math13171240gpt-oss-20b
LMArena Text: mathematical work13051243gpt-oss-20b
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
MMLU Pro71.6%Not measuredOnly gpt-oss-20b measured
LegalBench (Vals AI)70.8%Not measuredOnly gpt-oss-20b measured
CaseLaw (Vals AI)43.8%Not measuredOnly gpt-oss-20b measured
CorpFin (Vals AI)53.1%Not measuredOnly gpt-oss-20b measured
TaxEval (Vals AI)63.7%Not measuredOnly gpt-oss-20b measured
MedQA (Vals AI)82.9%Not measuredOnly gpt-oss-20b measured
MMLU Pro (Artificial Analysis run)74.8%65.2%gpt-oss-20b
LMArena Text: science12961235gpt-oss-20b
LMArena Text: medicine and healthcare13101215gpt-oss-20b
LMArena Text: legal and government12801219gpt-oss-20b
LMArena Text: business and finance12841205gpt-oss-20b
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
Design Arena: websites852Not measuredOnly gpt-oss-20b measured
Design Arena: data viz933Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for gpt-oss-20b and Mistral Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
IFBench65.1%26.4%gpt-oss-20b
Long context reasoning (AA-LCR)34.7%0.0%gpt-oss-20b
DTBench68.0%Not measuredOnly gpt-oss-20b measured
LMCA14.5%Not measuredOnly gpt-oss-20b measured
LMArena Text12881234gpt-oss-20b
LMArena Text: instruction following12361214gpt-oss-20b
LMArena Text: creative writing12011194gpt-oss-20b
LMArena Text: English13031256gpt-oss-20b
LMArena Text: non-English12691198gpt-oss-20b
LMArena Text: Chinese13151204gpt-oss-20b
LMArena Text: German12551211gpt-oss-20b
LMArena Text: Japanese12441111gpt-oss-20b
LMArena Text: Korean12361188gpt-oss-20b
LMArena Text: FrenchNot measured1204Only Mistral Small 3 measured
LMArena Text: Spanish1267Not measuredOnly gpt-oss-20b measured
LMArena Text: Russian12781216gpt-oss-20b
LMArena Text: Polish1252Not measuredOnly gpt-oss-20b measured
LMArena Text: multi-turn12681217gpt-oss-20b
LMArena Text: longer queries12501246gpt-oss-20b
LMArena Text: writing and language12381214gpt-oss-20b
LMArena Text: entertainment and media12161184gpt-oss-20b
Neither model has a result on the other 25 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 Small 3
Benchmarkgpt-oss-20bMistral Small 3Leader
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 Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

gpt-oss-20b$0.0019Fits in one request
Mistral Small 3$0.0027Exceeds the context window

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-20b$0.0075Exceeds the context window
Mistral Small 3$0.011Exceeds 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 Small 3
SpecificationOpenAI gpt-oss-20bMistral Small 3
MakerOpenAIMistral AI
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025January 30, 2025
Context window131K33K
Input $/Mtok$0.03$0.05
Output $/Mtok$0.15$0.08
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 Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-20b for a larger context window (131K against 33K tokens).

Which is cheaper, gpt-oss-20b or Mistral Small 3?

gpt-oss-20b costs $0.03 per million input tokens and $0.15 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, gpt-oss-20b or Mistral Small 3?

gpt-oss-20b, with 131K tokens against 33K.

How many benchmarks is the gpt-oss-20b vs Mistral Small 3 comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. gpt-oss-20b's coding index rests on 0 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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