DeepSeek V4 Pro vs Mistral Large 3
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by DeepSeek
3 providers:
DeepSeek $0.435/$0.870
Fireworks $1.74/$3.48
Together $1.74/$3.48
|
by Mistral
|
|---|---|---|
| Overview | ||
| Status | Current mid tier | Current mid tier |
| Released | Apr 24, 2026 | Nov 1, 2025 |
| Pricing per million tokens | ||
| Input | $0.435/Mtok | $0.500/Mtok |
| Output | $0.870/Mtok | $1.50/Mtok |
| Blended avg | $0.544/Mtok | $0.750/Mtok |
| Cached input | $0.004/Mtok | — |
| Specifications | ||
| Context window | 1M tokens | 128K tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Vellum LLM Leaderboard / Mistral model card, Artificial Analysis | ||
| Avg benchmark score | 73.5 | 53.6 |
| Perf / dollar | 135.2 | 71.5 |
| GPQA Diamond | 90.1 | 58 |
| SWE-Bench Verified | 80.6 vendor | 35 |
| Humanity's Last Exam | 48.2 | 18 |
| ARC-AGI 2 | 30 | 20 |
| AIME 2025 | 75 | 52 |
| MMMLU | 82 | 78 |
| BFCL | 72 | 68 |
| HumanEval | 80.6 | 85 |
| MATH 500 | 80 | 68 |
| LiveCodeBench | 93.5 | — |
| MCP Atlas | 73.6 | — |
| BrowseComp | 83.4 | — |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | 45.3 | 15.9 |
| AA Agentic Index | 37.8 | 5.5 |
| AA-Omniscience Index (−100–100) | -10.7 | -39.6 |
| LMSYS Chatbot Arena | 1457.1 ELO | 1415.3 ELO |
| GDPval-AA v2 | 1304.5 ELO | — |
| Providers | ||
| Available from |
DeepSeek — $0.435/$0.870/Mtok
Fireworks — $1.74/$3.48/Mtok
Together — $1.74/$3.48/Mtok
|
Mistral — $0.500/$1.50/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | DeepSeek V4 Pro | Mistral Large 3 | Savings |
|---|---|---|---|
| 1M tokens | $0.54 | $0.75 | $0.21 (28%) |
| 10M tokens | $5.44 | $7.5 | $2.06 (27.5%) |
| 100M tokens | $54.37 | $75 | $20.63 (27.5%) |
| 1000M tokens | $543.75 | $750 | $206.25 (27.5%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.544/Mtok blended vs $0.750 — 27.5% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.004/Mtok — 99% off its list input price, a discount Mistral Large 3 doesn't offer
- you need the longer context: 1M tokens vs 128K (7.8×)
- raw capability matters more than price: 73.5 vs 53.6 average benchmark score
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
- this pairing gives Mistral Large 3 no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
The cheaper option here — DeepSeek V4 Pro costs $0.544/Mtok blended on DeepSeek.
Summary
DeepSeek V4 Pro by DeepSeek costs $0.435/Mtok input and $0.870/Mtok output, with a 1M-token context window. It supports text input and is available from 3 providers.
Mistral Large 3 by Mistral costs $0.500/Mtok input and $1.50/Mtok output, with a 128K-token context window. It supports text input.
On a blended cost basis, DeepSeek V4 Pro is 27.5% cheaper than Mistral Large 3.It also has a larger context window.
On benchmarks, DeepSeek V4 Pro scores higher (73.5 vs 53.6) on average. In terms of value, DeepSeek V4 Pro has better performance per dollar (135.2 vs 71.5).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.