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gpt-oss-20b vs Grok 4.7

Grok 4.7 leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 46.4 to 10.0, and gpt-oss-20b costs 40.0x less per output token ($0.15 vs $6.00 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace gpt-oss-20b Replace Grok 4.7
gpt-oss-20bOpenAI
Coding
No data
Overall
38.5
Output $/M
$0.15
0
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
39
vs boards won of 39 shared

gpt-oss-20b or Grok 4.7: which to pick

Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding.

Pick gpt-oss-20b for output tokens 40.0x cheaper ($0.15 vs $6.00 per million).

Model Agpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
39
gpt-oss-20b only
23
Grok 4.7 only
60
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, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Web design, 44.0 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: gpt-oss-20b 852 against Grok 4.7 1254, 50.3 points apart on a 0 to 100 scale.
Output price
gpt-oss-20b $0.15 against Grok 4.7 $6.00 per million output tokens, 40.0x apart.
Context window
gpt-oss-20b takes 131K tokens, Grok 4.7 500K.

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-20bBarsGrok 4.7Ties
Coding03
Intelligence02
Reasoning05
Math03
Knowledge05
Web design02
General019
All shared boards039
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
LiveBench codingNot measured84.5%Only Grok 4.7 measured
LMArena WebDevNot measured1637Only Grok 4.7 measured
LiveCodeBench (Vals AI)80.4%Not measuredOnly gpt-oss-20b measured
Terminal-Bench 4 (Vals AI)Not measured28.8%Only Grok 4.7 measured
Vibe Code Bench (Vals AI)Not measured86.2%Only Grok 4.7 measured
Code migration (Vals AI)Not measured44.8%Only Grok 4.7 measured
ProgramBench (Vals AI)Not measured0.5%Only Grok 4.7 measured
IOI (Vals AI)Not measured57.7%Only Grok 4.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured73.4%Only Grok 4.7 measured
SWE-bench Multimodal (Vals AI)Not measured42.9%Only Grok 4.7 measured
CyberBench (Vals AI)Not measured69.5%Only Grok 4.7 measured
LiveCodeBench (Artificial Analysis run)77.7%Not measuredOnly gpt-oss-20b measured
SciCode38.9%57.8%Grok 4.7
Terminal-Bench Hard (Artificial Analysis run)10.6%Not measuredOnly gpt-oss-20b measured
Terminal-Bench3.4%Not measuredOnly gpt-oss-20b measured
FrontierCodeNot measured47.6%Only Grok 4.7 measured
FrontierSWENot measured29.5%Only Grok 4.7 measured
WeirdML40.9%Not measuredOnly gpt-oss-20b measured
ALE-Bench566.0Not measuredOnly gpt-oss-20b measured
LMArena Text: coding13071432Grok 4.7
LMArena Text: software and IT13111421Grok 4.7
LMArena WebDev: ReactNot measured1663Only Grok 4.7 measured
LMArena WebDev: HTMLNot measured1627Only Grok 4.7 measured
LMArena WebDev: from an imageNot measured1586Only Grok 4.7 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
AA Intelligence Index10.046.4Grok 4.7
Epoch Capabilities Index137.7154.4Grok 4.7
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
LiveBench researchNot measured86.4%Only Grok 4.7 measured
LiveBench browserNot measured60.0%Only Grok 4.7 measured
LiveBench long agenticNot measured50.1%Only Grok 4.7 measured
SREBench (Vals AI)Not measured3.8%Only Grok 4.7 measured
Finance Agent (Vals AI)Not measured52.3%Only Grok 4.7 measured
Tax Agent Bench (Vals AI)Not measured34.2%Only Grok 4.7 measured
Legal Research Bench (Vals AI)Not measured47.1%Only Grok 4.7 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured18.3%Only Grok 4.7 measured
Excel Modeling Benchmark (Vals AI)Not measured67.0%Only Grok 4.7 measured
BioMysteryBench (Vals AI)Not measured69.3%Only Grok 4.7 measured
Terminal-Bench-Science (Vals AI)Not measured10.0%Only Grok 4.7 measured
Vals Science IndexNot measured34.8%Only Grok 4.7 measured
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
τ²-Bench Telecom60.2%Not measuredOnly gpt-oss-20b measured
APEX-AgentsNot measured54.6%Only Grok 4.7 measured
Vending-Bench 2Not measured$10,537Only Grok 4.7 measured
BrowseComp-Plus50.6%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
GPQA Diamond68.9%Not measuredOnly gpt-oss-20b measured
LiveBench reasoningNot measured82.7%Only Grok 4.7 measured
MysteryMechanism (Vals AI)Not measured25.2%Only Grok 4.7 measured
GPQA Diamond (Artificial Analysis run)68.8%Not measuredOnly gpt-oss-20b measured
Humanity's Last Exam (Artificial Analysis run)11.0%43.1%Grok 4.7
GPQA Diamond (Epoch AI run)60.8%92.7%Grok 4.7
ARC-AGINot measured90.2%Only Grok 4.7 measured
ARC-AGI-2Not measured61.4%Only Grok 4.7 measured
Chess puzzlesNot measured41.0%Only Grok 4.7 measured
Mystery game puzzlesNot measured29.0%Only Grok 4.7 measured
LMArena Text: hard prompts12741415Grok 4.7
LMArena Text: expert12581439Grok 4.7
LMArena Text: hard prompts in English12921427Grok 4.7
LMArena Vision: diagramsNot measured1254Only Grok 4.7 measured
LMArena Vision: homeworkNot measured1309Only Grok 4.7 measured
Kagi LLM Benchmark53.2%Not measuredOnly gpt-oss-20b measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
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 Index89.3Not measuredOnly gpt-oss-20b measured
AIME 2025 (Artificial Analysis run)89.3%Not measuredOnly gpt-oss-20b measured
OTIS Mock AIME65.3%98.1%Grok 4.7
FrontierMath, tiers 1 to 3Not measured53.0%Only Grok 4.7 measured
FrontierMath, tier 4Not measured17.1%Only Grok 4.7 measured
ProofBenchNot measured26.0%Only Grok 4.7 measured
LMArena Text: math13171414Grok 4.7
LMArena Text: mathematical work13051435Grok 4.7
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
MMLU Pro71.6%Not measuredOnly gpt-oss-20b measured
LegalBench (Vals AI)70.8%84.4%Grok 4.7
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
MedCode (Vals AI)Not measured49.5%Only Grok 4.7 measured
MMLU Pro (Artificial Analysis run)74.8%Not measuredOnly gpt-oss-20b measured
SimpleQA VerifiedNot measured56.0%Only Grok 4.7 measured
LMArena Text: science12961419Grok 4.7
LMArena Text: medicine and healthcare13101395Grok 4.7
LMArena Text: legal and government12801423Grok 4.7
LMArena Text: business and finance12841389Grok 4.7
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
Design Arena: websites8521254Grok 4.7
Design Arena: UI componentsNot measured1275Only Grok 4.7 measured
Design Arena: game devNot measured1313Only Grok 4.7 measured
Design Arena: data viz9331235Grok 4.7
Design Arena: 3DNot measured1270Only Grok 4.7 measured
Design Arena: all code categoriesNot measured1271Only Grok 4.7 measured
LiveBench designNot measured78.0%Only Grok 4.7 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for gpt-oss-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
Vals IndexNot measured58.6%Only Grok 4.7 measured
LiveBench data analysisNot measured76.9%Only Grok 4.7 measured
Public Benefits Bench (Vals AI)Not measured65.6%Only Grok 4.7 measured
SAGE (Vals AI)Not measured40.8%Only Grok 4.7 measured
MedScribe (Vals AI)Not measured89.4%Only Grok 4.7 measured
IFBench65.1%Not measuredOnly gpt-oss-20b measured
Long context reasoning (AA-LCR)34.7%80.0%Grok 4.7
DTBench68.0%96.0%Grok 4.7
LMCA14.5%49.4%Grok 4.7
Furniture assemblyNot measured20.8%Only Grok 4.7 measured
LMArena Text12881399Grok 4.7
LMArena Text: instruction following12361406Grok 4.7
LMArena Text: creative writing12011381Grok 4.7
LMArena VisionNot measured1231Only Grok 4.7 measured
LMArena Text: English13031411Grok 4.7
LMArena Text: non-English12691386Grok 4.7
LMArena Text: Chinese13151449Grok 4.7
LMArena Text: German12551366Grok 4.7
LMArena Text: Japanese12441359Grok 4.7
LMArena Text: Korean12361383Grok 4.7
LMArena Text: FrenchNot measured1431Only Grok 4.7 measured
LMArena Text: Spanish12671406Grok 4.7
LMArena Text: Russian12781399Grok 4.7
LMArena Text: Polish12521420Grok 4.7
LMArena Text: multi-turn12681394Grok 4.7
LMArena Text: longer queries12501416Grok 4.7
LMArena Text: writing and language12381394Grok 4.7
LMArena Text: entertainment and media12161376Grok 4.7
LMArena Vision: EnglishNot measured1229Only Grok 4.7 measured
LMArena Vision: ChineseNot measured1250Only Grok 4.7 measured
LMArena Vision: reading textNot measured1241Only Grok 4.7 measured
LMArena Vision: creative writingNot measured1217Only Grok 4.7 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-20b and Grok 4.7
Benchmarkgpt-oss-20bGrok 4.7Leader
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
Grok 4.7$0.0050Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

gpt-oss-20b$0.0019Fits in one request
Grok 4.7$0.118Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

gpt-oss-20b$0.0075Exceeds the context window
Grok 4.7$0.460Fits in one request

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 Grok 4.7
SpecificationOpenAI gpt-oss-20bSpaceXAI Grok 4.7
MakerOpenAIxAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 5, 2025September 21, 2026
Context window131K500K
Input $/Mtok$0.03$2.00
Output $/Mtok$0.15$6.00
Coding indexNot benchmarked66.7
Independent measurements behind it05
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is gpt-oss-20b better than Grok 4.7 for coding?

Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; gpt-oss-20b has none, so the two cannot be ranked on coding. Pick gpt-oss-20b for output tokens 40.0x cheaper ($0.15 vs $6.00 per million).

Which is cheaper, gpt-oss-20b or Grok 4.7?

gpt-oss-20b costs $0.03 per million input tokens and $0.15 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, gpt-oss-20b or Grok 4.7?

Grok 4.7, with 500K tokens against 131K.

How many benchmarks is the gpt-oss-20b vs Grok 4.7 comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. gpt-oss-20b's coding index rests on 0 independent benchmarks and Grok 4.7's on 5. Where only one model has a result, the page says so instead of naming a winner.

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