gpt-oss-120b vs Llama 4 Maverick
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for gpt-oss-120b and Llama 4 Maverick.
gpt-oss-120b
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...
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
Technical Specifications
| Specification | gpt-oss-120b | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | 89/100 |
| Time to First Token (TTFT) | N/A | 300 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-05 | 2026-05-25 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-120b
$0.03
Llama 4 Maverick
$0.15
Output Price per Million Tokens
gpt-oss-120b
$0.15
Llama 4 Maverick
$0.60
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
gpt-oss-120b Quirks & Gotchas
No developer gotchas reported.
Llama 4 Maverick Quirks & Gotchas
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability