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Model comparison - Similar price, same tier

DeepSeek V4 Pro vs Mistral Medium 3.5

DeepSeek V4 Pro is from DeepSeek and Mistral Medium 3.5 is from Mistral AI. On list price, DeepSeek V4 Pro charges 12% less than Mistral Medium 3.5 for input ($1.32 vs $1.50 per 1M tokens), and Mistral Medium 3.5 charges 1.9x DeepSeek V4 Pro's output price ($7.50 vs $3.96 per 1M tokens). DeepSeek V4 Pro has a 1,000,000-token context window and Mistral Medium 3.5 256,000 tokens; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Mistral Medium 3.5. DeepSeek V4 Pro was released on April 24, 2026 and Mistral Medium 3.5 on April 27, 2026. Both publish open weights.

Last verified from each provider's pricing page. All sources

DeepSeek - Open

DeepSeek V4 Pro
Input / 1M
$1.32
Output / 1M
$3.96
Context
1M

Mistral AI - Open

Mistral Medium 3.5
Input / 1M
$1.50
Output / 1M
$7.50
Context
256K

Side-by-side specs

SpecDeepSeek V4 ProMistral Medium 3.5
ProviderDeepSeekMistral AI
Input / 1M tokens$1.32$1.50
Output / 1M tokens$3.96$7.50
Cache read / 1M$0.044$0.15
Batch input / 1M-$0.75
Batch output / 1M-$3.75
Context window1,000,000256,000
Max output393,216-
Release date
WeightsOpenOpen
LicenseMITModified MIT (https://huggingface.co/mistralai/Mistral-Medium-3.5-128B/blob/main/LICENSE)
API model iddeepseek-v4-promistral-medium-3-5
AI Gateway iddeepseek/deepseek-v4-promistral/mistral-medium-3.5
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadDeepSeek V4 ProMistral Medium 3.5
One agent session1M input tokens and 100K output tokens, no caching.$1.72$2.25
A chat app10,000 requests a day at 2K input and 500 output tokens each.$46.20$1,386.00 per 30-day month$67.50$2,025.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.5676$1.04
Show the math

DeepSeek V4 Pro

  • One agent sessionInput: 1M x $1.32 = $1.32Output: 0.1M x $3.96 = $0.396
  • A chat appInput: 20M x $1.32 = $26.40Output: 5M x $3.96 = $19.80
  • The same session at a 90% cache hitCached input: 0.9M x $0.044 = $0.0396Uncached input: 0.1M x $1.32 = $0.132Output: 0.1M x $3.96 = $0.396

Mistral Medium 3.5

  • One agent sessionInput: 1M x $1.50 = $1.50Output: 0.1M x $7.50 = $0.75
  • A chat appInput: 20M x $1.50 = $30.00Output: 5M x $7.50 = $37.50
  • The same session at a 90% cache hitCached input: 0.9M x $0.15 = $0.135Uncached input: 0.1M x $1.50 = $0.15Output: 0.1M x $7.50 = $0.75

Benchmarks under the same setting

No board in the benchmark directory lists both DeepSeek V4 Pro and Mistral Medium 3.5 under the same setting, so there is no like-for-like score to show here.

Set them up in your tools

Step-by-step guides whose official docs list DeepSeek V4 Pro or Mistral Medium 3.5 by model id.

Model pages

DeepSeekDeepSeek V4 Pro pricing and specsFull rate card, worked cost examples and sources. Open weights.Mistral AIMistral Medium 3.5 pricing and specsFull rate card, worked cost examples and sources. Open weights.

FAQ

How do DeepSeek V4 Pro and Mistral Medium 3.5 compare on price?

On list price, DeepSeek V4 Pro charges 12% less than Mistral Medium 3.5 for input ($1.32 vs $1.50 per 1M tokens), and Mistral Medium 3.5 charges 1.9x DeepSeek V4 Pro's output price ($7.50 vs $3.96 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $1.72 on DeepSeek V4 Pro and $2.25 on Mistral Medium 3.5. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of DeepSeek V4 Pro and Mistral Medium 3.5?

DeepSeek V4 Pro has a 1,000,000-token context window and Mistral Medium 3.5 256,000 tokens; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Mistral Medium 3.5.

Are DeepSeek V4 Pro and Mistral Medium 3.5 open weights?

DeepSeek V4 Pro's weights are published at huggingface.co under the MIT. Mistral Medium 3.5's weights are published at huggingface.co under the Modified MIT (https://huggingface.co/mistralai/Mistral-Medium-3.5-128B/blob/main/LICENSE).

More comparisons

Sources

DeepSeek V4 Pro verified from api-docs.deepseek.com; Mistral Medium 3.5 verified from docs.mistral.ai. This page is as current as the older of the two: .

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