Which is cheaper, DeepSeek R1 or Mistral Large?

DeepSeek R1 is cheaper for both input ($0.55/M tokens) and output ($2.19/M tokens), compared to Mistral Large at $2.00/$6.00 per million tokens.

Which is faster, DeepSeek R1 or Mistral Large?

Mistral Large is faster at 75 tokens/sec with a TTFT of 280ms, compared to DeepSeek R1 at 45 tokens/sec and 1800ms TTFT.

Which has a bigger context window, DeepSeek R1 or Mistral Large?

DeepSeek R1 has a 128K token context window, which is equal to Mistral Large's 128K context window.

Which is better for coding, DeepSeek R1 or Mistral Large?

DeepSeek R1 has a higher coding ELO of 1330 compared to Mistral Large's 1240, making it the stronger choice for code generation and programming tasks.

DeepSeek R1 vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Name: DeepSeek R1 vs Mistral Large — Pricing, Benchmarks & Speed Comparison 2026
Creator: LLMversus
License: https://creativecommons.org/licenses/by/4.0/

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

DeepSeek R1 is significantly cheaper at $0.55/$2.19 per million tokens vs $2.00/$6.00. DeepSeek R1 is stronger for coding with a coding ELO of 1330 vs 1240. Mistral Large is faster at 75 tokens/sec vs 45 tokens/sec. DeepSeek R1 ranks higher overall with an Arena ELO of 1310 vs 1245.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	DeepSeek R1	Mistral Large
Provider	DeepSeek	Mistral
Input Price / 1M tokens	$0.500	$0.500
Output Price / 1M tokens	$2.15	$1.50
Context Window	128K	128K
Max Output Tokens	8,192	8,192
Arena ELO	1,310	1,245
Coding ELO	1,330	1,240
TTFT (ms)	1,800	280
Tokens/sec	45	75
Multimodal	No	No
JSON Mode	Yes	Yes
Function Calling	No	Yes
Vision	No	No

When to Use DeepSeek R1

Choose DeepSeek R1 when you need: excellent reasoning at a fraction of o3's cost, open-source and self-hostable, top-tier math performance, very competitive with proprietary reasoning models. It excels at reasoning, math, coding, science tasks. It is also the more cost-effective option between the two.

Strengths:

Excellent reasoning at a fraction of o3's cost
Open-source and self-hostable
Top-tier math performance
Very competitive with proprietary reasoning models

Best for:

reasoningmathcodingscience

When to Use Mistral Large

Choose Mistral Large when you need: strong multilingual support, good coding capabilities, european ai alternative, open-weight model available. It excels at coding, multilingual, general-purpose tasks.

Strengths:

Strong multilingual support
Good coding capabilities
European AI alternative
Open-weight model available

Best for:

codingmultilingualgeneral-purpose

DeepSeek R1 vs Mistral Large: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

Frequently Asked Questions

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