Model comparison

Mistral Large 4 vs DeepSeek V4 Pro: pricing, context and features compared

Mistral Large 4 costs $0.68 per million input tokens and $2.09 per million output tokens; DeepSeek V4 Pro costs $0.2088 and $0.4176. Here is how they compare on specs, on what real workloads cost, and on which to pick for what, from prices updated daily.

Mistral’s flagship and DeepSeek’s Pro model are often weighed against each other by teams looking beyond the big US providers: one comes from a European company, the other from a Chinese lab, and both are long-context models priced well below the US flagships.

Mistral Large 4Mistral

Input / 1M: $0.68
Output / 1M: $2.09
Context: 1,048,576
Max output: 262,144

Mistral lists Mistral Large 4 as a Public Preview at a sale price: $0.68 input and $2.09 output per million tokens (cached input $0.07), down from $1.36, $4.18 and $0.14. Mistral doesn’t say when the sale ends; the prices here follow the price Mistral charges and will update when it changes.

Full Mistral Large 4 pricing and specs

DeepSeek V4 ProDeepSeek

Input / 1M: $0.2088
Output / 1M: $0.4176
Context: 1,024,000
Max output: 384,000

This page covers the original DeepSeek V4 Pro weights (0423), and its price is the top-ranked host’s on OpenRouter, not DeepSeek’s. DeepSeek’s own API now serves the newer V4-Pro-0813 under the deepseek-v4-pro name, at $1.32 input and $3.96 output per million tokens during peak hours (01:00–04:00 and 06:00–10:00 UTC on weekdays) and half that, $0.66 and $1.98, at all other times.

Full DeepSeek V4 Pro pricing and specs

Verdict

Mistral Large 4 or DeepSeek V4 Pro: which to pick

DeepSeek V4 Pro has the lower list prices: 3.3× cheaper per input token and 5.0× per output token. On our data, Mistral Large 4 has the edge for non-text inputs, and DeepSeek V4 Pro for the lowest bill, very long prompts, long replies, repeated prompts and self-hosting. For scale, a support chatbot handling 1,000 requests a day costs about $42.54 a month on Mistral Large 4 and $10.24 on DeepSeek V4 Pro.

Lowest bill for typical workloadsPick DeepSeek V4 Pro: DeepSeek V4 Pro costs less on all 4 workloads below, 3.5× to 4.2× cheaper than Mistral Large 4 at list prices.
Very long prompts (whole codebases, long documents)Pick DeepSeek V4 Pro: Both read about 1,024,000 tokens per request. One 810,000-token prompt with a 2,000-token reply costs $0.55 on Mistral Large 4 and $0.17 on DeepSeek V4 Pro. Neither has a long-prompt surcharge in our data.
Long replies (reports, large code files)Pick DeepSeek V4 Pro: DeepSeek V4 Pro can write up to 384,000 tokens in one reply, against 262,144 for Mistral Large 4.
Images, audio, video or files in the promptPick Mistral Large 4: Mistral Large 4 also accepts images, which DeepSeek V4 Pro doesn’t.
Repeated long prompts (prompt caching)Pick DeepSeek V4 Pro: DeepSeek V4 Pro bills cached input at $0.0174 per 1M (8% of its input price), against $0.07 per 1M (10% of its input price) for Mistral Large 4.
Overnight batch jobsEither: Neither has a batch price in our data, so jobs that can wait cost the same as real-time requests.
Self-hosting or choosing your own hostPick DeepSeek V4 Pro: DeepSeek V4 Pro has open weights, so you can run it yourself or pick a host; Mistral Large 4 is API-only until its announced weights are published.

Criteria use only list prices, published limits and the features each provider declares. We don’t rank answer quality; test both models on your own prompts before you commit.

Specs

Mistral Large 4 vs DeepSeek V4 Pro side by side

Specs of Mistral Large 4 and DeepSeek V4 Pro; the better value on each row is marked
Spec	Mistral Large 4	DeepSeek V4 Pro
Provider	Mistral	DeepSeek
Input / 1M tokens	$0.68	$0.2088 (better)
Output / 1M tokens	$2.09	$0.4176 (better)
Cached input / 1M	$0.07	$0.0174 (better)
Batch in / out	No batch price	No batch price
Long-prompt price	None	None
Context window	1,048,576	1,024,000
Max output	262,144	384,000 (better)
Accepts	text, images	text
Image input	Yes (better)	No
Tool calling	Yes	Yes
Reasoning mode	Yes	Yes
Prompt caching	Yes	Yes
Structured output	Yes	Yes
Open weights	Announced, not yet published	Yes
Knowledge cutoff	Not published	Not published
First listed	2026-10-06	2026-04-24

Prices in US dollars per million tokens. Highlighted: the lower price or larger limit where the difference is over 5%. Features are as declared by each provider’s API; “First listed” is when our data source first listed the model. Long-prompt prices apply to the whole request once the prompt passes the threshold.

Costs

What Mistral Large 4 and DeepSeek V4 Pro cost for real workloads

Workload	Tokens in / out	Requests/day	Mistral Large 4 / month	DeepSeek V4 Pro / month	Cheaper
Support chatbotCalculator: Mistral Large 4 · DeepSeek V4 Pro	1,500 / 400	1,000	$42.5450% cached	$10.2450% cached	DeepSeek V4 Pro (4.2×)
RAG appCalculator: Mistral Large 4 · DeepSeek V4 Pro	6,000 / 500	500	$66.8120% cached	$18.7420% cached	DeepSeek V4 Pro (3.6×)
Coding agentCalculator: Mistral Large 4 · DeepSeek V4 Pro	40,000 / 2,000	200	$72.1580% cached	$18.6380% cached	DeepSeek V4 Pro (3.9×)
Document summariserCalculator: Mistral Large 4 · DeepSeek V4 Pro	8,000 / 600	300	$61.08no batch price	$17.53no batch price	DeepSeek V4 Pro (3.5×)

Each row uses the same token counts for both models and list prices (for an open-weight model, the top-ranked host’s price on OpenRouter), with caching and batch discounts only where the provider publishes them. A month is 365 ÷ 12 days. The support chatbot reads 50% of its prompt from the cache. The RAG app reads 20% of its prompt from the cache. The coding agent reads 80% of its prompt from the cache. The document summariser runs as a batch job where a batch price exists. Open either model in the LLM cost calculator to change any number.

Tokenizers

Are their per-token prices comparable?

Not exactly. Each model splits text into tokens its own way, so the same prompt can be a different number of tokens on Mistral Large 4 and DeepSeek V4 Pro, and the cheaper per-token price isn’t always the cheaper bill. Where a tokenizer isn’t public or measured we say so rather than guess.

Model	Tokenizer	Tokens per 1,000 words	Output per 1M words
Mistral Large 4	We haven’t measured Mistral Large 4’s tokenizer, so its count for a given text isn’t known here.
DeepSeek V4 Pro	DeepSeek V4Our measurement	1,145	$0.48

English prose, measured on the Universal Declaration of Human Rights (2026-10-11) or taken from the provider’s published words-per-token figure. Code, JSON and other languages use more tokens per word. Count your own text in the token counter or convert with tokens to words.

FAQ

Mistral Large 4 vs DeepSeek V4 Pro questions

Is Mistral Large 4 cheaper than DeepSeek V4 Pro?

Mistral Large 4 costs $0.68 per million input tokens and $2.09 per million output tokens; DeepSeek V4 Pro costs $0.2088 and $0.4176. For a support chatbot handling 1,000 requests a day, that is about $42.54 a month on Mistral Large 4 against $10.24 on DeepSeek V4 Pro, so DeepSeek V4 Pro is 4.2× cheaper there. Try your own numbers in the LLM cost calculator.

Which has the bigger context window, Mistral Large 4 or DeepSeek V4 Pro?

Their context windows are about the same size. Mistral Large 4 reads up to 1,048,576 tokens (roughly 786,432 English words) and writes up to 262,144 tokens per reply. DeepSeek V4 Pro reads up to 1,024,000 tokens (roughly 768,000 English words) and writes up to 384,000 tokens per reply. The window is shared between your prompt and the reply. Word counts use a rough 0.75 words per token; real ratios depend on the tokenizer.

Is Mistral Large 4 or DeepSeek V4 Pro better for coding?

We don’t publish benchmark scores, so this page can’t say which writes better code. What we can show is cost: a coding agent re-sending 40,000 tokens of context (80% cached) and writing 2,000 tokens, 200 times a day, costs about $72.15 a month on Mistral Large 4 and $18.63 on DeepSeek V4 Pro. Both support tool calling. Test both on tasks from your own repository.

Can Mistral Large 4 and DeepSeek V4 Pro read images?

Mistral Large 4 accepts images as well as text. DeepSeek V4 Pro accepts text only. Only Mistral Large 4 can read screenshots, photos or scanned pages, so for image work the choice is made for you. This is what each provider declares for its API, not a measure of how well it works.

Are Mistral Large 4 and DeepSeek V4 Pro open source?

DeepSeek V4 Pro has open weights, so you can run it yourself or choose between hosting providers; its price here is a typical hosted price. Mistral Large 4 is described by Mistral as open-weight, but its weights aren’t published yet, so for now it’s only available through Mistral’s API and its cloud partners. Check the licence before commercial use.

Do Mistral Large 4 and DeepSeek V4 Pro count tokens the same way?

Not necessarily. Each model splits text into tokens with its own tokenizer, so the same prompt can be a different number of tokens on each, and per-token prices aren’t directly comparable. We haven’t measured Mistral Large 4’s tokenizer, so its count for a given text isn’t known here. DeepSeek V4 Pro uses about 1,145 tokens per 1,000 English words (our measurement). Count your own text with the token counter or convert with tokens to words.

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