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Mistral Large 4 API Pricing & Cost Calculator

Mistral Large 4 is an open-weight Mixture-of-Experts model (52B active, 1.05T total parameters) with vision and a 1M context window, released in Public Preview on 2026-10-06. It costs $1.36 input / $4.18 output per 1M tokens, with cached input at $0.14 — about 2.8x the per-call cost of Mistral Large 3 ($0.50/$1.50), which stays the cheaper choice when you don't need the longer context or image input. A 1,000-in / 500-out call costs $0.00345.

Input

$1.36

per 1M tokens

Output

$4.18

per 1M tokens

Context window

1.05M

tokens

Released

2026-10

Model

≈ Estimated tokenizer·$1.36 in·$4.18 out (per 1M)

Quick start with a use case

Input tokens

Output tokens

Total cost per call$0.003450

Input$0.001360

Output$0.002090

Cost comparison

Standard

$0.003450

With Caching

$0.002840

Save 18% ↓

With Batch

Not supported

Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

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Detailed pricing

Mistral Large 4 pricing breakdown

All pricing dimensions including caching and batch discounts.

Type	Price (per 1M tokens)	Note
Input	$1.3600	Standard input tokens
Output	$4.1800	Generated output tokens
Cached input	$0.1400	Reused prompt content

Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · Mistral official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

Mistral Large 4 vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

Model	Per call	vs Large 4
Mistral Large 4 Mistral · this page	$0.003450	—
GPT-6 Luna OpenAI	$0.000350	−90%
Claude Haiku 5.5 Anthropic	$0.000350	−90%
DeepSeek V3.2 DeepSeek	$0.000480	−86%
GPT-5.6 Luna OpenAI	$0.000800	−77%
DeepSeek V4-Flash DeepSeek	$0.000900	−74%

Recommended use

When to choose Mistral Large 4

Mistral Large 4 shines for general-purpose tasks, complex multi-step reasoning, image and document understanding, long documents and large codebases, and multilingual content. Token counts are estimated within ~10-20% margin.

✓Context window of 1.05M tokens handles entire codebases or book-length documents.

✓Prompt caching available — significant savings for repeated system prompts.

✓Tool / function calling supported.

FAQ

Frequently asked questions

Mistral Large 4 costs $1.36 per 1M input tokens and $4.18 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0034. Use the calculator above to estimate your specific use case.

Mistral Large 4 supports a 1.05M token context window with a max output of 1,048,576 tokens.

Yes. Cached input is priced at $0.14 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.

Yes, Mistral Large 4 accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to Mistral's official documentation.

Token counts for Mistral Large 4 are estimated from character ratios (~10-20% margin). Cost calculations use prices verified on 2026-10-31. For final billing accuracy, always verify with Mistral's usage dashboard.

Mistral Large 4 does not currently support fine-tuning. Consider another model in the Mistral family if fine-tuning is required.