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ModelCap

gpt-oss-20b

Arena #270Official publisher releaseOpen weights7d #220 → #228

OpenAI·#228 of 352 on the current board·cheaper than #226 GPT-4 Turbo

gpt-oss-20b is a language model from OpenAI. It ranks #228 of 352 on ModelCap's current board, with an Index score of 31.6, measured on 2 public benchmarks. Its score range of 26.4–36.8 spans positions #190–#254. It is listed at $0.03 per million input tokens and $0.13 per million output tokens across 10 providers. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
31.6#228
Measured on 2 public benchmarks · range 26.4–36.8
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
50.9
Secondary market signal
Input
$0.03
per 1M tokens
Output
$0.13
per 1M tokens
Context
131K
tokens
Providers
10
11 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
PrimeIntellectfp4Cheapest$0.0040$0.017131Kfp4100.0%
Darkbloomfp8$0.018$0.09131Kfp8100.0%
AkashMLfp4$0.02$0.10131Kfp4100.0%
CoreWeavefp4$0.03$0.13131Kfp4100.0%
DeepInfrabf16$0.03$0.14131Kbf16100.0%
DekaLLMbf16$0.029$0.14131Kbf16100.0%
Amazon Bedrockeu-west-1$0.07$0.15131K—100.0%
Amazon Bedrock$0.07$0.15131K—100.0%
Parasailfp4$0.03$0.15131Kfp4100.0%
SiliconFlowfp8$0.04$0.18131Kfp890.00%
Groq$0.075$0.30131K—100.0%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.03$0.14131K229 ms123.6 tok/stools · structured
ovhcloud
live
$0.05$0.18131K609 ms47.0 tok/stools · structured
groq
live
$0.10$0.50131K296 ms677.6 tok/stools · structured
featherless-ai
live
——————

Reported evaluation leads (20)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
—8.8
Unpinned
not published
Reported
Quarantined
cais/hle
hle
—7
Unpinned
not published
Reported
Quarantined
cais/hle
hle
—6.3
Unpinned
not published
Reported
Quarantined
cais/hle
hle
—4.2
Unpinned
not published
Reported
Quarantined
cais/hle
hle
—17.3
Unpinned
not published
Reported
Quarantined
cais/hle
hle
—10.9
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—58.5859
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—67.1
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—66
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—58
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—56.8
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—74.2
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
—71.5
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
open_question
—32.12
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
mcq_4_choices
—40.78
Unpinned
not published
Reported
Quarantined
LiquidAI/ifstruct-v1.0
ifstruct_v1
—91.95
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—53.2
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—37.4
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
—60.7
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—73.6
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
31.6
Measured on 2 public benchmarks
Current board
#228 of 352
Score range
26.4–36.8
Rank range
#190–#254
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
60.3% · strong
Identity binding
Exact catalogue product · openai/openai/gpt-oss-20b/fp4 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata openai/gpt-oss-20b@6cee5e81ee83917806bbde320786a8fb61efebee (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
31.6
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
31.6
Evidence status
confirmed · 76% mass
General preference
31.3
Coding
34.1
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
60%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
27.6
Liquidity (providers × uptime)
86.8
Open reach (HF downloads)
87.9
Surface (context / tools / modalities)
70.2
Freshness
17.5
  • · OpenRouter popularity #68
  • · 10 live providers
  • · HF 30d downloads 5928593
  • · Catalogue: context 131072, reasoning, tools
  • · First seen 2025-08-05

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
85.3
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
98.6
Evaluation provenance
51.2

Not yet published: the base model it derives from, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
50.9
OpenRouter weekly popularity
#68 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#270 of 419
Rating
1317.3
95% confidence interval
1311–1324
Votes
10K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
27.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
86.8

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
87.9

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
17.5

Time since first public availability, on a six-month half-life.

Specification

Model ID
openai/gpt-oss-20b
Context window
131K tokens
Declared output cap
118K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Tokenizer
GPT
Cached input tokens
$0.03 / 1M
First seen on OpenRouter
5 Aug 2025
Knowledge cutoff
2024-06-30

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
6cee5e81ee83
Parameters
20.9B
Architecture
GptOssForCausalLM
Model type
gpt_oss
Hugging Face downloads (30d)
5.9M
Downloads (all time)
108.0M
Likes
5K
Repository updated
26 Aug 2025, 17:25 UTC

Compare gpt-oss-20b with

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Benchmark leaderboards featuring gpt-oss-20b

All leaderboards
Public benchmark boards on which gpt-oss-20b has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13171311–1324#270 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13681355–1381#252 of 414Default28 Oct 2026

Alternatives to gpt-oss-20b, by the numbers

Ranked neighbours

Models within 3 places of #228 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked OpenAI models

The same publisher's other current models with a public Index position.

gpt-oss-20b: common questions

How does gpt-oss-20b rank among AI models?

gpt-oss-20b holds ModelCap Index position #228 of 352 ranked language models as of 6 November 2026, with an Index score of 31.6 (interval 26.4–36.8); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does gpt-oss-20b cost per 1M tokens?

gpt-oss-20b is listed at $0.03 per 1M input tokens and $0.13 per 1M output tokens as of 6 November 2026; the lowest output price among 10 providers is $0.017 on PrimeIntellect. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.125 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of gpt-oss-20b?

gpt-oss-20b has a published context window of 131K tokens (131,072). The snapshot lists a 117,964 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is gpt-oss-20b open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is openai/gpt-oss-20b on Hugging Face.

Which API providers serve gpt-oss-20b?

10 providers serve gpt-oss-20b through OpenRouter as of 6 November 2026: PrimeIntellect, Darkbloom, AkashML, DekaLLM, CoreWeave and DeepInfra and 4 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has gpt-oss-20b been evaluated on?

gpt-oss-20b has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1317 (#270 of 419) and Arena coding 1368 (#252 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does gpt-oss-20b compare with GPT-4 Turbo?

gpt-oss-20b ranks #228 (Index 31.6) and GPT-4 Turbo ranks #226 (Index 32.0) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was gpt-oss-20b released?

gpt-oss-20b first appeared in the catalogue on 5 Aug 2025, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.