Qwen3.7-Max (DeepInfra) vs Llama 4 Maverick (DeepInfra)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | Qwen3.7-Max (DeepInfra) | Llama 4 Maverick (DeepInfra) |
|---|---|---|
| Provider | DeepInfra | DeepInfra |
| Input Price (1M) | $2.50 | $0.20 |
| Output Price (1M) | $7.50 | $0.80 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
Qwen3.7-Max (DeepInfra) costs $2.50 per 1M input tokens and $7.50 per 1M output tokens. Llama 4 Maverick (DeepInfra) costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. Llama 4 Maverick (DeepInfra) is 92% cheaper on input tokens than Qwen3.7-Max (DeepInfra). For output tokens, Llama 4 Maverick (DeepInfra) is the more affordable option at $0.80/1M vs $7.50.
On context window, Qwen3.7-Max (DeepInfra) supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Qwen3.7-Max (DeepInfra)
- ✓ You are already integrated with DeepInfra
When to choose Llama 4 Maverick (DeepInfra)
- ✓ You need the lowest input token cost ($ 0.20/1M)
- ✓ Your workload is output-heavy — Llama 4 Maverick (DeepInfra) generates text cheaper
- ✓ You are already integrated with DeepInfra
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Qwen3.7-Max (DeepInfra) cheaper than Llama 4 Maverick (DeepInfra)? ▼
Llama 4 Maverick (DeepInfra) is cheaper on input tokens at $0.20/1M vs $2.50/1M for Qwen3.7-Max (DeepInfra) — a 92% saving.
What is the context window of Qwen3.7-Max (DeepInfra) vs Llama 4 Maverick (DeepInfra)? ▼
Qwen3.7-Max (DeepInfra) has a 1,000,000-token context window. Llama 4 Maverick (DeepInfra) has a 1,000,000-token context window. Qwen3.7-Max (DeepInfra) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Qwen3.7-Max (DeepInfra) or Llama 4 Maverick (DeepInfra)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Maverick (DeepInfra) is the cheaper option. For maximum context length, Qwen3.7-Max (DeepInfra) supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.