How Many Tokens?

← All models

Mistral Large: token counter & pricing

Mistral · approximate, within ±3% of reference · pricing as of 2026-04-26.

Provider
Mistral
API model ID
mistral-large-latest
Context window
128,000 tokens
Input price
$2.00 per 1M tokens
Output price
$6.00 per 1M tokens
Tokenizer accuracy
approximate, within ±3% of reference
Pricing as of
2026-04-26

Open the counter to count tokens for Mistral Large in real time.

What is Mistral Large?

Mistral Large is the flagship model from French AI lab Mistral — frontier-tier capability, 128k context, available both as a hosted API and (for enterprise customers) for on-premises deployment. Strong on European-language workloads where US-trained models sometimes underperform.

How tokens are counted here

Mistral Large uses Mistral's BPE tokenizer (a variant of the SentencePiece family). We approximate in your browser, accurate to ~±3% of the reference tokenizer. Marked ≈±3%.

When to use Mistral Large

When not to use it:

Pricing notes

At $2 input / $6 output per million, Mistral Large is positioned between GPT-4o and Claude Sonnet on price. Mid-tier pricing for mid-tier-to-frontier capability.

Mistral also offers cheaper models (Codestral, Mistral Small, Ministral) for specific use cases. They're not in this calculator yet — request via email if you want them added.

Common questions

Is Mistral Large open-source?

Mistral Large weights are not open-source under the most recent license — Mistral moved to a "research only" weights release for the Large tier. Smaller Mistral models (Codestral 22B, Mistral 7B, Mixtral 8x7B / 8x22B) remain Apache-2.0.

How does Mistral Large compare to Claude Sonnet?

Sonnet typically wins on instruction-following nuance and refusal calibration. Mistral Large wins on multilingual European tasks and on workloads where you need EU data residency. Cost is comparable.

Does Mistral support multimodal input?

Mistral has separate vision models (Pixtral). Mistral Large itself is text-only as of this writing — for image input, use Pixtral or another multimodal model.

Compare Mistral Large to other models