GPT-oss 120B vs Llama 4 Maverick
OpenAI's open-source model vs Meta's flagship open-source. Both at $0.20/$0.80 — identical pricing. Llama 4 Maverick has 7.8x more context (1M vs 128K).
Pricing data verified: Jun 20, 2026
| Specification | GPT-oss 120B (OpenAI) | Llama 4 Maverick (Meta) |
|---|---|---|
| Input Price (per 1M tokens) | $0.20 | $0.20 |
| Output Price (per 1M tokens) | $0.80 | $0.80 |
| Context Window | 128K tokens | 1M tokens |
| Tier | Budget | Budget |
| Provider | OpenAI | Meta |
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Frequently Asked Questions
How much cheaper is Llama 4 Maverick than GPT-oss 120B?
GPT-oss 120B costs $0.20/$0.80 per 1M tokens. Llama 4 Maverick costs $0.20/$0.80 per 1M tokens.
GPT-oss 120B vs Llama 4 Maverick — which is better?
Both models are priced identically at $0.20/$0.80 per 1M tokens. Llama 4 Maverick has a significant advantage with 1M context vs 128K, making it better for long-document tasks. GPT-oss 120B may have advantages in certain reasoning tasks due to OpenAI's training methodology. Test both for your specific workload.
Can I self-host these models?
Both GPT-oss 120B and Llama 4 Maverick are open-weight models. You can self-host them on your own infrastructure for even lower costs at scale. Self-hosting requires significant GPU resources (typically 4-8 A100s for 120B parameter models) but eliminates per-token API costs.