Enter opens the highlighted result. Esc closes.

gpt-oss-120b vs Mistral Medium 3

gpt-oss-120b leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 11.6 to 9.0, and gpt-oss-120b costs 4.0x less per output token ($0.50 vs $2.00 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace gpt-oss-120b Replace Mistral Medium 3
gpt-oss-120bOpenAI
Coding
No data
Overall
11.6
Output $/M
$0.50
24
Mistral Medium 3Mistral AI
Coding
No data
Overall
9.0
Output $/M
$2.00
23
vs boards won of 47 shared

gpt-oss-120b or Mistral Medium 3: which to pick

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

Pick gpt-oss-120b for output tokens 4.0x cheaper ($0.50 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: hard prompts, where it leads.

Model Agpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
gpt-oss-120b only
31
Mistral Medium 3 only
10
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-120b not benchmarked, Mistral Medium 3 not benchmarked.
Widest category
Agentic work, 41.5 points apart on average over 1 shared benchmark.
Widest single gap
AIME 2025 (Artificial Analysis run): gpt-oss-120b 93.4% against Mistral Medium 3 30.3%, 63.1 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.50 against Mistral Medium 3 $2.00 per million output tokens, 4.0x 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-120bBarsMistral Medium 3Ties
Coding31
Intelligence20
Agentic work10
Reasoning32
Math40
Knowledge41
Web design06
General713
All shared boards2423
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
AA Coding Index30.4Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Vals AI)83.2%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified (Vals AI)33.6%Not measuredOnly gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)87.8%40.0%gpt-oss-120b
SciCode34.0%Not measuredOnly gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)23.5%3.8%gpt-oss-120b
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%Not measuredOnly gpt-oss-120b measured
ALE-Bench575.6Not measuredOnly gpt-oss-120b measured
LMArena Text: coding13791385Mistral Medium 3
LMArena Text: software and IT13871385gpt-oss-120b
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
AA Intelligence Index11.69.0gpt-oss-120b
Epoch Capabilities Index139.8134.0gpt-oss-120b
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
AA Agentic Index3.7Not measuredOnly gpt-oss-120b measured
τ²-Bench Telecom65.8%24.3%gpt-oss-120b
APEX-Agents4.4%Not measuredOnly gpt-oss-120b measured
METR time horizons56.6%Not measuredOnly gpt-oss-120b measured
Vending-Bench 2-$22Not measuredOnly gpt-oss-120b measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
GPQA Diamond78.5%Not measuredOnly gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)78.2%57.8%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)19.6%4.1%gpt-oss-120b
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly gpt-oss-120b measured
SimpleBench22.1%Not measuredOnly gpt-oss-120b measured
Mystery game puzzles2.0%Not measuredOnly gpt-oss-120b measured
LMArena Text: hard prompts13641364Mistral Medium 3
LMArena Text: expert13561342gpt-oss-120b
LMArena Text: hard prompts in English13681374Mistral Medium 3
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
AIME92.6%Not measuredOnly gpt-oss-120b measured
MATH 500 (Vals AI)94.8%Not measuredOnly gpt-oss-120b measured
MGSM (Vals AI)92.0%Not measuredOnly gpt-oss-120b measured
AA Math Index93.430.3gpt-oss-120b
AIME 2025 (Artificial Analysis run)93.4%30.3%gpt-oss-120b
OTIS Mock AIME88.9%Not measuredOnly gpt-oss-120b measured
LMArena Text: math13891353gpt-oss-120b
LMArena Text: mathematical work13861354gpt-oss-120b
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
MMLU Pro79.2%Not measuredOnly gpt-oss-120b measured
LegalBench (Vals AI)75.9%Not measuredOnly gpt-oss-120b measured
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%Not measuredOnly gpt-oss-120b measured
TaxEval (Vals AI)71.6%Not measuredOnly gpt-oss-120b measured
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)80.8%76.0%gpt-oss-120b
LMArena Text: science13821381gpt-oss-120b
LMArena Text: medicine and healthcare13881381gpt-oss-120b
LMArena Text: legal and government13551384Mistral Medium 3
LMArena Text: business and finance13591352gpt-oss-120b
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
Design Arena: websites9681079Mistral Medium 3
Design Arena: UI components9271024Mistral Medium 3
Design Arena: game dev9921018Mistral Medium 3
Design Arena: data viz9871034Mistral Medium 3
Design Arena: 3D9011084Mistral Medium 3
Design Arena: all code categories9631069Mistral Medium 3
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index713
General benchmarks for gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 3Leader
IFBench69.0%39.3%gpt-oss-120b
Long context reasoning (AA-LCR)52.0%31.3%gpt-oss-120b
DTBench76.3%62.3%gpt-oss-120b
LMCA22.1%Not measuredOnly gpt-oss-120b measured
Fiction.LiveBench44.4%Not measuredOnly gpt-oss-120b measured
Creative writing (Lech Mazur)77.1%Not measuredOnly gpt-oss-120b measured
Surface Evolver Bench25.0%Not measuredOnly gpt-oss-120b measured
LMArena Text13661370Mistral Medium 3
LMArena Text: instruction following13181338Mistral Medium 3
LMArena Text: creative writing12741343Mistral Medium 3
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English13751385Mistral Medium 3
LMArena Text: non-English13511353Mistral Medium 3
LMArena Text: Chinese13851374gpt-oss-120b
LMArena Text: German13531377Mistral Medium 3
LMArena Text: Japanese13311316gpt-oss-120b
LMArena Text: Korean12821304Mistral Medium 3
LMArena Text: French13701368gpt-oss-120b
LMArena Text: Spanish13891364gpt-oss-120b
LMArena Text: Russian13431359Mistral Medium 3
LMArena Text: Polish13531371Mistral Medium 3
LMArena Text: multi-turn13401384Mistral Medium 3
LMArena Text: longer queries13191360Mistral Medium 3
LMArena Text: writing and language13061352Mistral Medium 3
LMArena Text: entertainment and media12921335Mistral Medium 3
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
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 gpt-oss-120b and Mistral Medium 3
Benchmarkgpt-oss-120bMistral Medium 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-120b$0.0003Fits in one request
Mistral Medium 3$0.0014Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0065Fits in one request
Mistral Medium 3$0.026Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.025Exceeds the context window
Mistral Medium 3$0.100Exceeds the context window

gpt-oss-120b 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-120b and Mistral Medium 3
SpecificationOpenAI gpt-oss-120bMistral Medium 3
MakerOpenAIMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 5, 2025May 7, 2025
Context window131K131K
Input $/Mtok$0.10$0.40
Output $/Mtok$0.50$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.51Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than Mistral Medium 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 4.0x cheaper ($0.50 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: hard prompts, where it leads.

Which is cheaper, gpt-oss-120b or Mistral Medium 3?

gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, gpt-oss-120b or Mistral Medium 3?

Neither: both take 131K tokens.

How many benchmarks is the gpt-oss-120b vs Mistral Medium 3 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next