Meta: Llama 3.3 70B Instruct vs Mistral Large
Head-to-head API pricing and cost comparison between Meta’s Meta: Llama 3.3 70B Instruct and Mistral’s Mistral Large. Prices auto-refresh daily from OpenRouter.
Meta: Llama 3.3 70B Instruct is 95% cheaper for input tokens; Meta: Llama 3.3 70B Instruct also wins on output tokens.
Side-by-side comparison
| Spec | Meta: Llama 3.3 70B Instruct | Mistral Large |
|---|---|---|
| Input price (per 1M) | $0.10 | $2.00 |
| Cached input (per 1M) | — | $0.20 |
| Output price (per 1M) | $0.32 | $6.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 131K | 128K |
| Vision support | No | No |
| Caching support | No | 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 3.3 70B Instruct | Mistral Large | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $3.42 | $66.00 | $62.58 Meta: Llama 3.3 70B Instruct wins |
10K req/day 1500in / 500out tokens | $93.00 | $1,800 | $1,707 Meta: Llama 3.3 70B Instruct wins |
100K req/day 3000in / 800out tokens | $1,668 | $32,400 | $30,732 Meta: Llama 3.3 70B Instruct wins |
1M req/day 8000in / 2000out tokens | $43,200 | $840,000 | $796,800 Meta: Llama 3.3 70B Instruct wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Meta: Llama 3.3 70B Instruct or Mistral Large?
For input tokens, Meta: Llama 3.3 70B Instruct is roughly 95% cheaper at $0.10/1M vs $2.00/1M. For output tokens, Meta: Llama 3.3 70B Instruct wins at $0.32/1M. 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 3.3 70B Instruct has a context window of 131K tokens. Mistral Large offers 128K 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 3.3 70B Instruct or Mistral Large?
Choose Meta: Llama 3.3 70B Instruct if you’re already on the Meta stack, want broad ecosystem support, or prefer its lower input price. Choose Mistral Large for Mistral’s ecosystem, 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: May 28, 2026.