Meta: Llama 4 Maverick vs Mistral: Mistral Large 4
Head-to-head API pricing and cost comparison between Meta’s Meta: Llama 4 Maverick and Mistral’s Mistral: Mistral Large 4. Prices auto-refresh daily from OpenRouter.
Meta: Llama 4 Maverick is 86% cheaper for input tokens; Meta: Llama 4 Maverick also wins on output tokens.
Side-by-side comparison
| Spec | Meta: Llama 4 Maverick | Mistral: Mistral Large 4 |
|---|---|---|
| Input price (per 1M) | $0.19 | $1.36 |
| Cached input (per 1M) | $0.05 | $0.14 |
| Output price (per 1M) | $0.65 | $4.18 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 524K | 1049K |
| Vision support | Yes | Yes |
| Caching support | Yes | Yes |
| Batch API | No | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Meta: Llama 4 Maverick | Mistral: Mistral Large 4 | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $6.73 | $45.48 | $38.75 Meta: Llama 4 Maverick wins |
10K req/day 1500in / 500out tokens | $182.25 | $1,239 | $1,057 Meta: Llama 4 Maverick wins |
100K req/day 3000in / 800out tokens | $3,254 | $22,272 | $19,019 Meta: Llama 4 Maverick wins |
1M req/day 8000in / 2000out tokens | $84,150 | $577,200 | $493,050 Meta: Llama 4 Maverick wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
Frequently asked questions
Which is cheaper, Meta: Llama 4 Maverick or Mistral: Mistral Large 4?
For input tokens, Meta: Llama 4 Maverick is roughly 86% cheaper at $0.19/1M vs $1.36/1M. For output tokens, Meta: Llama 4 Maverick wins at $0.65/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Meta: Llama 4 Maverick has a context window of 524K tokens. Mistral: Mistral Large 4 offers 1049K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Meta: Llama 4 Maverick or Mistral: Mistral Large 4?
Choose Meta: Llama 4 Maverick if you’re already on the Meta stack, want broad ecosystem support, or prefer its lower input price. Choose Mistral: Mistral Large 4 for Mistral’s ecosystem, native vision input, or its differentiated capabilities. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Oct 27, 2026.