GPT-6.1 Terra vs Mistral Large 4 pricing
Side-by-side LLM API pricing.Mistral Large 4 is cheaper on input ($0.70 vs $1.00 /1M), and Mistral Large 4 is cheaper on output ($2.10 vs $5.00 /1M). On a blended average, Mistral Large 4 is lower — but which wins for you depends on your input/output mix, so check the example workloads below or run the calculator.
| Attribute | GPT-6.1 Terra | Mistral Large 4 |
|---|---|---|
| Provider | OpenAI | Mistral |
| Tier | Mid-range | Mid-range |
| Status | GA | Preview |
| Context window | 1.05M | 1M |
| Input /1M | $1.00 | $0.70 |
| Output /1M | $5.00 | $2.10 |
| Cached input /1M | $0.05 | $0.07 |
| Batch input /1M | $0.50 | $0.35 |
| Batch output /1M | $2.50 | $1.05 |
| Blended (avg in+out) | $3.00 | $1.40 |
| 1M in + 1M out | $6.00 | $2.80 |
| 1M in (90% cached) + 100K out | $0.6450 | $0.3430 |
List prices, USD, directional. Rates are provider list prices per 1M tokens and are meant for comparison, not billing. Batch rates shown as 50% off are derived where a provider offers batch but does not publish a separate figure. Preview, promo, intro, peak/off-peak, long-context, and third-party-host prices are labeled where they apply. Token counts vary by tokenizer, so per-token price is not always a like-for-like cost. Always confirm with the provider before relying on a number. Prices as of 2026-11-02.
Which should you pick?
For a balanced job (1M input + 1M output), Mistral Large 4 costs $2.80 versus $6.00. If your prompts are large and reused, prompt caching changes the maths — the cache-heavy row above shows a 90%-cached input scenario. If your work can run asynchronously, both providers' batch rates cut the bill further where offered.
Full price matrices: GPT-6.1 Terra pricing → · Mistral Large 4 pricing → · Back to the LLM pricing hub →