GPT OSS 120B
OpenAIKey gpt-oss-120bAlso reported as openai/gpt-oss-120b, gpt-oss:120b, hyper/gpt-oss-120b, alcf-metis/gpt-oss-120b, alcf-minerva/gpt-oss-120b, ollama/gpt-oss:120b, openrouter/openai/gpt-oss-120b, mlx-community/gpt-oss-120b, @cf/openai/gpt-oss-120b, alcf-sophia/openai/gpt-oss-120b
- Rank
- #102
- by active users
- Active users
- 3
- Up 1 from 2 active users in the previous 7 days. vs previous 7 days
- Adoption
- 0.5%
- of 625 accounts
- Tokens
- 104.5M
- cache included
- Est. cost
- $12
- at public list prices
- First seen
- Aug 7, 2025
- in any submission
Nov 8–14, 2026 (UTC)625 accounts100% of tokens from an identified modelData through Nov 14, 2026, 08:05 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
0 active users on Nov 14, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 8, 2026 | 1 | 17.2K |
| Nov 9, 2026 | 1 | 48.5K |
| Nov 10, 2026 | 0 | 0 |
| Nov 11, 2026 | 1 | 1.2M |
| Nov 12, 2026 | 1 | 103.2M |
| Nov 13, 2026 | 0 | 0 |
| Nov 14, 2026 | 0 | 0 |
Token mix
How the 104.5M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input13%
- Output1.0%
- Cache read86%
- Cache write0%
- Reasoning0%
Agents that carry GPT OSS 120B
Each agent's share of this model's tokens, and how many accounts used the model through it.
Pi93% of this model's tokens2active users
Oh My Pi6.9% of this model's tokens2active users
Benchmarks
The best result for GPT OSS 120B in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.
- Epoch Capabilities IndexOverall · Epoch AI140.2
Epoch Capabilities Index: 140.2
- Model
- GPT OSS 120B
- Listed as
- gpt-oss-120b
- Conditions
- Not reported
- Interval
- 138.2–142.1
- Unit
- ECI
- Model released
- Aug 5, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #117 of 158 matched modelsNo conditions reportedModel released Aug 5, 2025Source: epoch.ai (opens in a new tab) - GPQA DiamondReasoning · Epoch AI75.8%
GPQA Diamond: 75.8%
- Model
- GPT OSS 120B
- Listed as
- openai/gpt-oss-120b_high
- Conditions
- High
- Unit
- % correct
- Run date
- Dec 11, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Amazon Bedrock is the reference price for the estimates below. It is the first provider listed; models.dev lists no price from the lab's own API.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0.15
- Est. per 1M tokens
86% cache reads - At the community mix
- $0.15
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $0.26
- Per 1M tokens at list prices
No cache
Cache reads were 86% of GPT OSS 120B tokens in the last 7 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- Amazon Bedrock list prices per 1M tokens: input $0.15, output $0.60.
- This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
- The community mix is the tokens of every identified model in the last 7 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
- No cache-read price is listed, so cache reads are priced as input.
- No cache-write price is listed, so cache writes are priced as input.
List prices by provider
- Amazon BedrockReference
openai.gpt-oss-120b$0.15 input per 1M tokens$0.60 output per 1M tokensCache read not listedCache write not listed131K tokens of context - Vertex
openai/gpt-oss-120b-maas$0.09 input per 1M tokens$0.36 output per 1M tokensCache read not listedCache write not listed131K tokens of context - OpenRouter
openai/gpt-oss-120b$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed131K tokens of context - Vercel AI Gateway
openai/gpt-oss-120b$0.10 input per 1M tokens$0.50 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed131K tokens of context
Show 5 more providersShow fewer providers
- Together AI
openai/gpt-oss-120b$0.15 input per 1M tokens$0.60 output per 1M tokensCache read not listedCache write not listed131K tokens of context - Deep Infra
openai/gpt-oss-120b$0.04 input per 1M tokens$0.17 output per 1M tokensCache read not listedCache write not listed131K tokens of context - Groq
openai/gpt-oss-120b$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed131K tokens of context - Cerebras
gpt-oss-120b$0.35 input per 1M tokens$0.75 output per 1M tokens$0.35 cache read per 1M tokensCache write not listed131K tokens of context - Baseten
openai/gpt-oss-120b$0.10 input per 1M tokens$0.50 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed128K tokens of context
Specs
From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 131K tokens
- Max output
- 41K tokens
- Input
- Text
- Output
- Text
- Knowledge cutoff
- Jun 2024
- Release date
- Aug 5, 2025
- Open weights
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used GPT OSS 120B most in this period, by tokens. Hidden accounts are never listed.
- 1
SeaL773@SeaL773104.5Mtokens$12est. cost2active days$12 est. cost · 2 active days
- 2
Joosung Park@hyperlapse12248.5Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
- 3
Zenco@notzenco17.2Ktokens—est. cost1active daysno price · 1 active days
More from OpenAI
Other OpenAI models in the same period, by active users.
- GPT-6.1 Sol59% adoption370active users
- GPT-6 Astra45% adoption283active users
- GPT-6 Luna25% adoption156active users
- GPT-6.1 Terra24% adoption151active users
- Codex Auto Review17% adoption108active users
- GPT-5.6 Sol10% adoption63active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.