---
title: "OpenAI: gpt-oss-120b — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/openai__gpt-oss-120b/
description: "OpenAI: gpt-oss-120b: $0.037/M in, $0.170/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# OpenAI: gpt-oss-120b — price, capability and what beats it · Undominated.ai

> OpenAI: gpt-oss-120b: $0.037/M in, $0.170/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / OpenAI

# gpt-oss-120b

OpenAI · released 2025-08-05 · apache-2.0

 $0.070 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## Solar Pro 4 is both better and cheaper.

It scores **+17.5** higher and costs **25% less** ($0.052/M against $0.070/M) on this workload — and it does everything this model does.

[Ling-3.0-flash](/models/inclusionai__ling-3.0-flash) is cheaper still (55% less) but drops 131K → 33K max output.

## Our take

 editorial — not a measurement

OpenAI's Apache-2.0 open-weight model, and at roughly $0.037/$0.17 on OpenRouter's default endpoint it is one of the cheapest credible models available. The strategic value is licence, not benchmark: Apache-2.0 with no field-of-use restriction means you can self-host, fine-tune and ship it commercially without asking anyone. Treat listed prices as one host's rate — Groq, Fireworks, Together and DeepInfra all price the same weights differently, and self-hosting changes the economics entirely.

### Strengths

 - Apache-2.0 — genuinely unrestricted commercial use
- ~$0.037/$0.17 at the default hosted endpoint
- 131k context window
- Self-hostable, so no vendor lock-in or rate limits

### Weaknesses

 - Well below frontier capability
- Text-only
- Quoted price is one host's rate, not a canonical price

### Reach for it when

 - Cost-floor workloads
- On-prem or air-gapped deployment
- Fine-tuning bases where licence matters

### Avoid it if

 - You need frontier reasoning
- You need multimodal input

Sources: openrouter.ai

### Every price dimension

| Input | $0.037 /M |
| --- | --- |
| Output | $0.170 /M |

### Independent scores

| Intelligence | 24.1 |
| --- | --- |
| Coding | 30.4 |
| Agentic | 13.4 |
| LMArena Elo | 1365.6 default |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

### Capability

| Context window | 131K |
| --- | --- |
| Max output | 131K |
| Input modes | text |
| Tool use | yes |
| Reasoning | always on |
| Knowledge cutoff | 2024-06-30 |
| Open weights | yes |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |
| Cross-checked | vendor page |

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...