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gpt-oss-120b vs MiMo-V2.5-Pro

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

gpt-oss-120bOpenAI
Coding
34.5
Overall
11.6
Output $/M
$0.60
1
MiMo-V2.5-ProXiaomi
Coding
40.0
Overall
26.0
Output $/M
$0.609
53
vs boards won of 54 shared

Decision reading

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2.

Pick gpt-oss-120b when output tokens cost 1.0x less, or when the benchmark that matters is LiveCodeBench (Vals AI), where it leads.

Shared results
54
gpt-oss-120b only
24
MiMo-V2.5-Pro only
16
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 34.5 from 2 benchmarks, MiMo-V2.5-Pro 40.0 from 1 benchmark.
Widest category
Web design, 37.6 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: gpt-oss-120b 901 against MiMo-V2.5-Pro 1244, 42.9 points apart on a 0 to 100 scale.
Output price
gpt-oss-120b $0.60 against MiMo-V2.5-Pro $0.609 per million output tokens, 1.0x apart.
Context window
gpt-oss-120b takes 131K tokens, MiMo-V2.5-Pro 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-oss-120bBarsMiMo-V2.5-ProTies
Coding17
Intelligence01
Agentic work02
Reasoning06
Math02
Knowledge08
Web design06
General021
All shared boards153
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
Coding benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
Aider polyglot41.8%Not measuredOnly gpt-oss-120b measured
SWE-bench Verified26.0%Not measuredOnly gpt-oss-120b measured
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
AA Coding Index30.460.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)83.2%81.3%gpt-oss-120b
SWE-bench Verified (Vals AI)33.6%74.0%MiMo-V2.5-Pro
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
LiveCodeBench (Artificial Analysis run)87.8%Not measuredOnly gpt-oss-120b measured
SciCode34.0%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)23.5%43.2%MiMo-V2.5-Pro
Terminal-Bench18.7%Not measuredOnly gpt-oss-120b measured
WeirdML48.2%Not measuredOnly gpt-oss-120b measured
ALE-Bench575.6899.8MiMo-V2.5-Pro
LMArena Text: coding13791501MiMo-V2.5-Pro
LMArena Text: software and IT13871495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
AA Intelligence Index11.626.0MiMo-V2.5-Pro
Epoch Capabilities Index139.8Not measuredOnly gpt-oss-120b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
AA Agentic Index3.721.3MiMo-V2.5-Pro
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom65.8%94.2%MiMo-V2.5-Pro
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 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
GPQA Diamond78.5%82.6%MiMo-V2.5-Pro
GPQA Diamond (Artificial Analysis run)78.2%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)19.6%35.7%MiMo-V2.5-Pro
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 prompts13641486MiMo-V2.5-Pro
LMArena Text: expert13561501MiMo-V2.5-Pro
LMArena Text: hard prompts in English13681494MiMo-V2.5-Pro
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
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 Index93.4Not measuredOnly gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)93.4%Not measuredOnly gpt-oss-120b measured
OTIS Mock AIME88.9%Not measuredOnly gpt-oss-120b measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math13891481MiMo-V2.5-Pro
LMArena Text: mathematical work13861491MiMo-V2.5-Pro
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
MMLU Pro79.2%84.6%MiMo-V2.5-Pro
LegalBench (Vals AI)75.9%77.1%MiMo-V2.5-Pro
CaseLaw (Vals AI)48.8%Not measuredOnly gpt-oss-120b measured
CorpFin (Vals AI)58.2%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)71.6%73.8%MiMo-V2.5-Pro
MedQA (Vals AI)91.4%Not measuredOnly gpt-oss-120b measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
MMLU Pro (Artificial Analysis run)80.8%Not measuredOnly gpt-oss-120b measured
LMArena Text: science13821482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare13881473MiMo-V2.5-Pro
LMArena Text: legal and government13551474MiMo-V2.5-Pro
LMArena Text: business and finance13591466MiMo-V2.5-Pro
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
Design Arena: websites9681267MiMo-V2.5-Pro
Design Arena: UI components9271248MiMo-V2.5-Pro
Design Arena: game dev9921261MiMo-V2.5-Pro
Design Arena: data viz9871257MiMo-V2.5-Pro
Design Arena: 3D9011244MiMo-V2.5-Pro
Design Arena: all code categories9631266MiMo-V2.5-Pro
Design Arena: SVGNot measured1181Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1157Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for gpt-oss-120b and MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench69.0%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)52.0%79.7%MiMo-V2.5-Pro
DTBench76.3%84.5%MiMo-V2.5-Pro
LMCA22.1%29.5%MiMo-V2.5-Pro
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 Text13661464MiMo-V2.5-Pro
LMArena Text: instruction following13181475MiMo-V2.5-Pro
LMArena Text: creative writing12741438MiMo-V2.5-Pro
LMArena Text: English13751477MiMo-V2.5-Pro
LMArena Text: non-English13511448MiMo-V2.5-Pro
LMArena Text: Chinese13851507MiMo-V2.5-Pro
LMArena Text: German13531459MiMo-V2.5-Pro
LMArena Text: Japanese13311410MiMo-V2.5-Pro
LMArena Text: Korean12821435MiMo-V2.5-Pro
LMArena Text: French13701487MiMo-V2.5-Pro
LMArena Text: Spanish13891469MiMo-V2.5-Pro
LMArena Text: Russian13431449MiMo-V2.5-Pro
LMArena Text: Polish13531464MiMo-V2.5-Pro
LMArena Text: multi-turn13401476MiMo-V2.5-Pro
LMArena Text: longer queries13191481MiMo-V2.5-Pro
LMArena Text: writing and language13061451MiMo-V2.5-Pro
LMArena Text: entertainment and media12921438MiMo-V2.5-Pro
Neither model has a result on the other 21 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 MiMo-V2.5-Pro
Benchmarkgpt-oss-120bMiMo-V2.5-ProLeader
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$0.0004Fits in one request
MiMo-V2.5-Pro$0.0006Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

gpt-oss-120b$0.0093Fits in one request
MiMo-V2.5-Pro$0.017Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-120b$0.036Exceeds the context window
MiMo-V2.5-Pro$0.067Fits in one request

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 MiMo-V2.5-Pro
SpecificationOpenAI gpt-oss-120bXiaomi MiMo-V2.5-Pro
MakerOpenAIXiaomi
WeightsOpen weightsOpen weights
ReleasedAugust 5, 2025April 22, 2026
Context window131K1.05M
Input $/Mtok$0.15$0.3045
Output $/Mtok$0.60$0.609
Coding index34.540.0
Independent measurements behind it21
Cost per solved task$0.51$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-120b better than MiMo-V2.5-Pro for coding?

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2. Pick gpt-oss-120b when output tokens cost 1.0x less, or when the benchmark that matters is LiveCodeBench (Vals AI), where it leads.

Which is cheaper, gpt-oss-120b or MiMo-V2.5-Pro?

gpt-oss-120b costs $0.15 per million input tokens and $0.60 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, gpt-oss-120b or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 131K.

How many benchmarks is the gpt-oss-120b vs MiMo-V2.5-Pro comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. gpt-oss-120b's coding index rests on 2 independent benchmarks and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

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