Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek V3 vs Mistral Large 3 benchmark

Name: DeepSeek V3 vs Mistral Large 3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek V3 (DeepSeek) and Mistral Large 3 (Mistral) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Mistral Large 3 is ahead by 146 points (1,456 vs 1,310; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Mistral Large 3 resolves 55.4% versus 48.6% (seed-bootstrap (Aug 1, 2026)). Mistral Large 3 streams faster (112 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). DeepSeek V3 has the larger context window (164k 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 V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.0287/1M out

Mistral

Mistral Large 3

Mistral European flagship with strong function calling.

Elo 1,456$6/1M out

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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 V3 (3)vsMistral Large 3 (6)

DeepSeek V3: 3W (33%)Overall: Mistral Large 3Mistral Large 3: 6W (67%)

← DeepSeek V3Mistral Large 3 →

Mistral Large 3 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,310vs1,456

Coding Elo

—vs—

SWE-bench

48.6%vs55.4%

LiveBench

55.4%vs61.8%

GPQA Diamond

59.1%vs74.1%

DeepSeek V3: 0WMistral Large 3: 4W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs112 tok/s

Time to first token

380 msvs190 ms

DeepSeek V3: 0WMistral Large 3: 2W

DeepSeek V3 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.03/1Mvs$6/1M

Input price

$0.26/1Mvs$2/1M

Context window

164kvs128k

DeepSeek V3: 3WMistral 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 4/6

Preference Elo

Mistral Large 3

146 pts advantage

Throughput Speed

Mistral Large 3

46 tok/s faster

Price Efficiency

DeepSeek V3

$4.97/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,310

EloHigh is better

1,456+11%

LiveBench

High is better

55.4%

LiveBenchHigh is better

61.8%+12%

SWE-bench

High is better

48.6%

SWE-benchHigh is better

55.4%+14%

GPQA

High is better

59.1%

GPQAHigh is better

74.1%+25%

TTFT

Low is better

380 ms

TTFTLow is better

190 ms+100%

Speed

High is better

66 tok/s

SpeedHigh is better

112 tok/s+70%

In $

Low is better

+677%$0.26/1M

In $Low is better

$2/1M

Out $

Low is better

+483%$1.03/1M

Out $Low is better

$6/1M

Context

High is better

+28%164k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 85% with DeepSeek V3

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek V3$24.44 / mo

In: $9.01Out: $15.43

Mistral Large 3$160.00 / mo

In: $70.00Out: $90.00

Estimated Cost Delta

DeepSeek V3 is estimated to save $135.56/month ($1,627/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Mistral Large 3:Pick Mistral Large 3 when repo-level coding accuracy is the constraint.
2
DeepSeek V3:Pick DeepSeek V3 when you are optimizing output cost.
3
Mistral Large 3:Pick Mistral Large 3 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsMistral Large 3

Higher SWE-bench (55.4%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGDeepSeek V3

Larger window (164k).

Screenshots / visionMistral Large 3

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Mistral Large 3	Higher SWE-bench (55.4%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Mistral Large 3	Lower TTFT (190 ms).
Long-document RAG	DeepSeek V3	Larger window (164k).
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 V3

Elo 1,310

LiveBench55.4%

SWE-bench48.6%

Speed66 tok/s

Output cost$1.03/1M

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 V3 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 V3 or Mistral Large 3?: Mistral Large 3 leads SWE-bench at 55.4% vs 48.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek V3 output tokens are $1.03/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or Mistral Large 3?: Mistral Large 3 has the lower time-to-first-token (190 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: DeepSeek V3 accepts 164k tokens versus 128k.
Can I self-host either model?: DeepSeek V3 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 V3 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 V3 matchups →|All Mistral Large 3 matchups →

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

DeepSeek V3 vs Mistral Large 3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V3 (3)vsMistral Large 3 (6)

DeepSeek V3: 3W (33%)Overall: Mistral Large 3Mistral Large 3: 6W (67%)

← DeepSeek V3Mistral Large 3 →

Mistral Large 3 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,310vs1,456

Coding Elo

—vs—

SWE-bench

48.6%vs55.4%

LiveBench

55.4%vs61.8%

GPQA Diamond

59.1%vs74.1%

DeepSeek V3: 0WMistral Large 3: 4W

Mistral Large 3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs112 tok/s

Time to first token

380 msvs190 ms

DeepSeek V3: 0WMistral Large 3: 2W

DeepSeek V3 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.03/1Mvs$6/1M

Input price

$0.26/1Mvs$2/1M

Context window

164kvs128k

DeepSeek V3: 3WMistral Large 3: 0W

Recommended Workload Routing

Repo / coding agentsMistral Large 3

Higher SWE-bench (55.4%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIMistral Large 3

Lower TTFT (190 ms).

Long-document RAGDeepSeek V3

Larger window (164k).

Screenshots / visionMistral Large 3

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Mistral Large 3	Higher SWE-bench (55.4%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Mistral Large 3	Lower TTFT (190 ms).
Long-document RAG	DeepSeek V3	Larger window (164k).
Screenshots / vision	Mistral Large 3	Mistral Large 3 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V3 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 V3 or Mistral Large 3?

Mistral Large 3 leads SWE-bench at 55.4% vs 48.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek V3 output tokens are $1.03/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V3 or Mistral Large 3?

Mistral Large 3 has the lower time-to-first-token (190 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

DeepSeek V3 accepts 164k tokens versus 128k.

Can I self-host either model?

DeepSeek V3 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 V3 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 V3

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)

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CompareLLM Matrix

DeepSeek V3

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 V3

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 V3

Mistral Large 3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons