Model comparison - Similar price, same tier
DeepSeek V4 Pro vs Mistral Large 4
DeepSeek V4 Pro is from DeepSeek and Mistral Large 4 is from Mistral AI. On list price, DeepSeek V4 Pro charges 3% less than Mistral Large 4 for input ($1.32 vs $1.36 per 1M tokens), and DeepSeek V4 Pro charges 5% less than Mistral Large 4 for output ($3.96 vs $4.18 per 1M tokens). DeepSeek V4 Pro and Mistral Large 4 both have a 1,000,000-token context window; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Mistral Large 4. DeepSeek V4 Pro was released on April 24, 2026 and Mistral Large 4 on October 5, 2026. DeepSeek V4 Pro publishes open weights (MIT); Mistral Large 4 is closed-weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | DeepSeek V4 Pro | Mistral Large 4 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Input / 1M tokens | $1.32 | $1.36 |
| Output / 1M tokens | $3.96 | $4.18 |
| Cache read / 1M | $0.044 | $0.14 |
| Batch input / 1M | - | $0.68 |
| Batch output / 1M | - | $2.09 |
| Context window | 1,000,000 | 1,000,000 |
| Max output | 393,216 | - |
| Release date | ||
| Weights | Open | Closed |
| License | MIT | - |
| API model id | deepseek-v4-pro | mistral-large-4 |
| AI Gateway id | deepseek/deepseek-v4-pro | mistral/mistral-large-4 |
| 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.
| Workload | DeepSeek V4 Pro | Mistral Large 4 |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.72 | $1.78 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $46.20$1,386.00 per 30-day month | $48.10$1,443.00 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 | $0.68 |
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 Large 4
- One agent sessionInput: 1M x $1.36 = $1.36Output: 0.1M x $4.18 = $0.418
- A chat appInput: 20M x $1.36 = $27.20Output: 5M x $4.18 = $20.90
- The same session at a 90% cache hitCached input: 0.9M x $0.14 = $0.126Uncached input: 0.1M x $1.36 = $0.136Output: 0.1M x $4.18 = $0.418
Benchmarks under the same setting
No board in the benchmark directory lists both DeepSeek V4 Pro and Mistral Large 4 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 Large 4 by model id.
- Use DeepSeek in AiderLists DeepSeek V4 Pro
- Use DeepSeek in Claude CodeLists DeepSeek V4 Pro
- Use DeepSeek in ClineLists DeepSeek V4 Pro
- Use DeepSeek in Codex CLILists DeepSeek V4 Pro
- Use DeepSeek in ContinueLists DeepSeek V4 Pro
- Use DeepSeek in GitHub CopilotLists DeepSeek V4 Pro
- Use DeepSeek in GooseLists DeepSeek V4 Pro
- Use DeepSeek in Kilo CodeLists DeepSeek V4 Pro
- Use DeepSeek in OpenCodeLists DeepSeek V4 Pro
- Use DeepSeek in Roo CodeLists DeepSeek V4 Pro
- Use DeepSeek in ZedLists DeepSeek V4 Pro
Model pages
FAQ
How do DeepSeek V4 Pro and Mistral Large 4 compare on price?
On list price, DeepSeek V4 Pro charges 3% less than Mistral Large 4 for input ($1.32 vs $1.36 per 1M tokens), and DeepSeek V4 Pro charges 5% less than Mistral Large 4 for output ($3.96 vs $4.18 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 $1.78 on Mistral Large 4. 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 Large 4?
DeepSeek V4 Pro and Mistral Large 4 both have a 1,000,000-token context window; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Mistral Large 4.
Are DeepSeek V4 Pro and Mistral Large 4 open weights?
DeepSeek V4 Pro's weights are published at huggingface.co under the MIT. Mistral Large 4 is closed-weights and is called through Mistral AI's API as mistral-large-4.
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- DeepSeek V4 Pro vs GPT-6.1 SolOpen weights vs closed
- Grok Build 0.1 vs Mistral Large 4Similar price, same tier
- Claude Sonnet 5.5 vs DeepSeek V4 ProOpen weights vs closed
- Claude Opus 5.5 vs DeepSeek V4 ProOpen weights vs closed
- GPT-5.4 Mini vs Mistral Large 4Similar price, same tier
Sources
DeepSeek V4 Pro verified from api-docs.deepseek.com; Mistral Large 4 verified from docs.mistral.ai. This page is as current as the older of the two: .
- https://api-docs.deepseek.com/quick_start/pricing
- https://docs.mistral.ai/inference/pricing
- https://api-docs.deepseek.com/updates
- https://api-docs.deepseek.com/news/news260424
- https://api-docs.deepseek.com/news/news260813
- https://api-docs.deepseek.com/news/news260910
- https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro
- https://vercel.com/ai-gateway/models/deepseek-v4-pro
- https://docs.mistral.ai/models/mistral-large-4-0
- https://docs.mistral.ai/resources/changelogs
- https://docs.mistral.ai/models
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