Pairwise benchmark snapshot · Aug 17, 2026

DeepSeek Coder V2 vs Mistral Large 3 benchmark

Name: DeepSeek Coder V2 vs Mistral Large 3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and Mistral Large 3 (Mistral) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Mistral Large 3 is ahead by 91 points (1,456 vs 1,365; lmarena (Aug 17, 2026)). On SWE-bench coding, DeepSeek Coder V2 resolves 60.5% versus 55.4% (swebench (Aug 17, 2026)). Mistral Large 3 streams faster (112 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). DeepSeek Coder V2 has the larger context window (128k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

Mistral

Mistral Large 3

Mistral European flagship with strong function calling.

Elo 1,456$6/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (4)vsMistral Large 3 (5)

DeepSeek Coder V2: 4W (44%)Overall: Mistral Large 3Mistral Large 3: 5W (56%)

← DeepSeek Coder V21 tiesMistral Large 3 →

Mistral Large 3 (3/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs1,456

Coding Elo

1,442vs—

SWE-bench

60.5%vs55.4%

LiveBench

58.6%vs61.8%

GPQA Diamond

70.2%vs74.1%

DeepSeek Coder V2: 2WMistral Large 3: 3W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs112 tok/s

Time to first token

290 msvs190 ms

DeepSeek Coder V2: 0WMistral Large 3: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$6/1M

Input price

$0.14/1Mvs$2/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WMistral Large 3: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageMistral Large 3 3/6

Preference Elo

Mistral Large 3

91 pts advantage

Throughput Speed

Mistral Large 3

37 tok/s faster

Price Efficiency

DeepSeek Coder V2

$5.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,456+7%

Code Elo

High is better

1,442

Code EloHigh is better

—

LiveBench

High is better

58.6%

LiveBenchHigh is better

61.8%+5%

SWE-bench

High is better

+9%60.5%

SWE-benchHigh is better

55.4%

GPQA

High is better

70.2%

GPQAHigh is better

74.1%+6%

TTFT

Low is better

290 ms

TTFTLow is better

190 ms+53%

Speed

High is better

75 tok/s

SpeedHigh is better

112 tok/s+49%

In $

Low is better

+1329%$0.14/1M

In $Low is better

$2/1M

Out $

Low is better

+2043%$0.28/1M

Out $Low is better

$6/1M

Context

High is better

128k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 94% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

Mistral Large 3$160.00 / mo

In: $70.00Out: $90.00

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $150.90/month ($1,811/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek Coder V2:Pick DeepSeek Coder V2 when repo-level coding accuracy is the constraint.
2
Mistral Large 3:Pick Mistral Large 3 when time-to-first-token matters more than peak Elo.
3
Mistral Large 3:Pick Mistral Large 3 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGDeepSeek Coder V2

Larger window (128k).

Screenshots / visionMistral Large 3

Mistral Large 3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Mistral Large 3	Lower TTFT (190 ms).
Long-document RAG	DeepSeek Coder V2	Larger window (128k).
Screenshots / vision	Mistral Large 3	Mistral Large 3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchJan 18, 2026

Mistral Large 3: the European flagship with function calling

Jan 2026. Not the Elo crown. Useful when residency and tools matter more than Arena.

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LIVE

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

Mistral

Mistral Large 3

Elo 1,456

LiveBench61.8%

SWE-bench55.4%

Speed112 tok/s

Output cost$6/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Mistral Large 3?: Mistral Large 3 has the higher preference Elo in our latest snapshot (1,456). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek Coder V2 or Mistral Large 3?: DeepSeek Coder V2 leads SWE-bench at 60.5% vs 55.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or Mistral Large 3?: Mistral Large 3 has the lower time-to-first-token (190 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: DeepSeek Coder V2 accepts 128k tokens versus 128k.
Can I self-host either model?: DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and Mistral Large 3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All Mistral Large 3 matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)Mistral Large 3 vs Codestral 25.01 (previous mistral)DeepSeek V4 Flash vs Mistral Large 3 DeepSeek V4 Pro vs Mistral Large 3 DeepSeek R1 vs DeepSeek Coder V2 Codestral 25.01 vs DeepSeek Coder V2

DeepSeek Coder V2 vs Mistral Large 3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (4)vsMistral Large 3 (5)

DeepSeek Coder V2: 4W (44%)Overall: Mistral Large 3Mistral Large 3: 5W (56%)

← DeepSeek Coder V21 tiesMistral Large 3 →

Mistral Large 3 (3/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,365vs1,456

Coding Elo

1,442vs—

SWE-bench

60.5%vs55.4%

LiveBench

58.6%vs61.8%

GPQA Diamond

70.2%vs74.1%

DeepSeek Coder V2: 2WMistral Large 3: 3W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs112 tok/s

Time to first token

290 msvs190 ms

DeepSeek Coder V2: 0WMistral Large 3: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$6/1M

Input price

$0.14/1Mvs$2/1M

Context window

128kvs128k

DeepSeek Coder V2: 2WMistral Large 3: 0W

Recommended Workload Routing

Repo / coding agentsDeepSeek Coder V2

Higher SWE-bench (60.5%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGDeepSeek Coder V2

Larger window (128k).

Screenshots / visionMistral Large 3

Mistral Large 3 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek Coder V2	Higher SWE-bench (60.5%).
High-volume chat	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	Mistral Large 3	Lower TTFT (190 ms).
Long-document RAG	DeepSeek Coder V2	Larger window (128k).
Screenshots / vision	Mistral Large 3	Mistral Large 3 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or Mistral Large 3?

Mistral Large 3 has the higher preference Elo in our latest snapshot (1,456). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek Coder V2 or Mistral Large 3?

DeepSeek Coder V2 leads SWE-bench at 60.5% vs 55.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or Mistral Large 3?

Mistral Large 3 has the lower time-to-first-token (190 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

DeepSeek Coder V2 accepts 128k tokens versus 128k.

Can I self-host either model?

DeepSeek Coder V2 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek Coder V2 and Mistral Large 3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Mistral Large 3

Mistral Large 3

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Mistral Large 3: the European flagship with function calling

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CompareLLM Matrix

DeepSeek Coder V2

Mistral Large 3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Mistral Large 3

Mistral Large 3

DeepSeek Coder V2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Mistral Large 3: the European flagship with function calling

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek Coder V2

Mistral Large 3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons