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Claude Opus 4.6 vs gpt-oss-120b

Claude Opus 4.6 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 31.9 to 11.6, and gpt-oss-120b costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace gpt-oss-120b
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
64
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
1
vs boards won of 65 shared

Claude Opus 4.6 or gpt-oss-120b: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.

Pick gpt-oss-120b for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($0.51 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
65
Claude Opus 4.6 only
45
gpt-oss-120b only
16
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
Claude Opus 4.6 57.2 from 4 benchmarks, gpt-oss-120b not benchmarked.
Widest category
Web design, 40.8 points apart on average over 6 shared benchmarks.
Widest single gap
Terminal-Bench: Claude Opus 4.6 79.8% against gpt-oss-120b 18.7%, 61.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against gpt-oss-120b $0.50 per million output tokens, 50.0x apart.
Context window
Claude Opus 4.6 takes 1M tokens, gpt-oss-120b 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
CategoryClaude Opus 4.6Barsgpt-oss-120bTies
Coding80
Intelligence20
Agentic work40
Reasoning100
Math40
Knowledge100
Web design60
General201
All shared boards641
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench Verified75.6%26.0%Claude Opus 4.6
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
LiveCodeBench (Vals AI)84.7%83.2%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%33.6%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured87.8%Only gpt-oss-120b measured
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)48.5%23.5%Claude Opus 4.6
Terminal-Bench79.8%18.7%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%48.2%Claude Opus 4.6
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding15341379Claude Opus 4.6
LMArena Text: software and IT15271387Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
AA Intelligence Index31.911.6Claude Opus 4.6
Epoch Capabilities Index155.7139.8Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%65.8%Claude Opus 4.6
APEX-Agents46.3%4.4%Claude Opus 4.6
METR time horizons78.9%56.6%Claude Opus 4.6
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018-$22Claude Opus 4.6
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
GPQA Diamond89.7%78.5%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%78.2%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%19.6%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%75.8%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%22.1%Claude Opus 4.6
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%2.0%Claude Opus 4.6
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251364Claude Opus 4.6
LMArena Text: expert15441356Claude Opus 4.6
LMArena Text: hard prompts in English15301368Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%58.6%Claude Opus 4.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
AIME95.6%92.6%Claude Opus 4.6
MATH 500 (Vals AI)Not measured94.8%Only gpt-oss-120b measured
MGSM (Vals AI)Not measured92.0%Only gpt-oss-120b measured
AA Math IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIME94.4%88.9%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math15181389Claude Opus 4.6
LMArena Text: mathematical work15251386Claude Opus 4.6
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
MMLU Pro89.1%79.2%Claude Opus 4.6
LegalBench (Vals AI)85.3%75.9%Claude Opus 4.6
CaseLaw (Vals AI)62.1%48.8%Claude Opus 4.6
CorpFin (Vals AI)67.0%58.2%Claude Opus 4.6
TaxEval (Vals AI)76.0%71.6%Claude Opus 4.6
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%91.4%Claude Opus 4.6
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured80.8%Only gpt-oss-120b measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191382Claude Opus 4.6
LMArena Text: medicine and healthcare15041388Claude Opus 4.6
LMArena Text: legal and government15121355Claude Opus 4.6
LMArena Text: business and finance14971359Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
Design Arena: websites1291967Claude Opus 4.6
Design Arena: UI components1281924Claude Opus 4.6
Design Arena: game dev1277992Claude Opus 4.6
Design Arena: data viz1279987Claude Opus 4.6
Design Arena: 3D1273901Claude Opus 4.6
Design Arena: all code categories1288962Claude Opus 4.6
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1255Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
General benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)78.0%52.0%Claude Opus 4.6
DTBench91.2%76.3%Claude Opus 4.6
LMCA55.8%22.1%Claude Opus 4.6
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011366Claude Opus 4.6
LMArena Text: instruction following15211318Claude Opus 4.6
LMArena Text: creative writing15051274Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111375Claude Opus 4.6
LMArena Text: non-English14881351Claude Opus 4.6
LMArena Text: Chinese15511385Claude Opus 4.6
LMArena Text: German15001353Claude Opus 4.6
LMArena Text: Japanese14881331Claude Opus 4.6
LMArena Text: Korean14641282Claude Opus 4.6
LMArena Text: French15121370Claude Opus 4.6
LMArena Text: Spanish15101389Claude Opus 4.6
LMArena Text: Russian14971343Claude Opus 4.6
LMArena Text: Polish14991353Claude Opus 4.6
LMArena Text: multi-turn15111340Claude Opus 4.6
LMArena Text: longer queries15181319Claude Opus 4.6
LMArena Text: writing and language15021306Claude Opus 4.6
LMArena Text: entertainment and media14921292Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and gpt-oss-120b
BenchmarkClaude Opus 4.6gpt-oss-120bLeader
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

Claude Opus 4.6$0.018Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
gpt-oss-120b$0.025Exceeds 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 Claude Opus 4.6 and gpt-oss-120b
SpecificationAnthropic Claude Opus 4.6OpenAI gpt-oss-120b
MakerAnthropicOpenAI
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026August 5, 2025
Context window1M131K
Input $/Mtok$5.00$0.10
Output $/Mtok$25.00$0.50
Coding index57.2Not benchmarked
Independent measurements behind it41
Cost per solved task$1.56$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than gpt-oss-120b for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($0.51 against $1.56).

Which is cheaper, Claude Opus 4.6 or gpt-oss-120b?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and gpt-oss-120b $0.51.

Which has the bigger context window, Claude Opus 4.6 or gpt-oss-120b?

Claude Opus 4.6, with 1M tokens against 131K.

How many benchmarks is the Claude Opus 4.6 vs gpt-oss-120b comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.

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