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A · open · DeepSeek

DeepSeek V3

DeepSeek

B · open · DeepSeek

DeepSeek V4 Pro

DeepSeek

0:13

overall capability wins (0 ties across 13 scored). DeepSeek V4 Pro leads overall.

  • Reasoning0:5
  • Coding0:3
  • Arena0:1
  • Tool use0:1
  • Composite indices0:2
  • Pricing2:1
  • Speed0:1
  • Specs0:3

Verdict

DeepSeek V4 Pro leads coding (widest gap: +47.1 on TermBench); DeepSeek V4 Pro ranks higher on LMArena (+99 Elo); DeepSeek V4 Pro offers ~7.8x larger context (1M vs 128K).

  • DeepSeek V4 Pro leads coding (widest gap: +47.1 on TermBench)
  • DeepSeek V4 Pro ranks higher on LMArena (+99 Elo)
  • DeepSeek V4 Pro offers ~7.8x larger context (1M vs 128K)
  • DeepSeek V4 Pro allows ~46.9x more max output (384K vs 8K)

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

DeepSeek V3
$0.55
DeepSeek V4 Pro
$0.65

DeepSeek V3 is about 1.2x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

DeepSeek

DeepSeek

Family

DeepSeek

DeepSeek

License

MIT

MIT

Open weights

Yes

Yes

Release

Dec 26, 2024

Apr 24, 2026

Knowledge cutoff

-

-

API / provider

DeepSeek

DeepSeek

Modalities

text → text

text → text

Specs

Context window

128K

1M

B +872K

Max output

8K

384K

B +376K

Parameters

671B (37B act.)

1.6T (49B act.)

B +929

Pricing

Input $/1M

$0.27

$0.43

A +$0.16

Output $/1M

$1.10

$0.87

B +$0.23

Blended $/1M (3∶1)

$0.48

$0.54

A +$0.07

Speed

tok/s

80

85

B +5.00

TTFT (s)

0.4

0.4

tie

Reasoning

MMLU-Pro

75.9

—

—

GPQA Diamond

55.7

88.8

B +33.1 pts

Humanity's Last Exam

2.9

37.5

B +34.6 pts

AIME 2025

26.0

—

—

MATH-500

90.2

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

25.5

43.0

B +17.5 pts

AA-LCR v1.1

29.3

74.7

B +45.4 pts

CritPt

—

12.9

—

MMMU-Pro

—

—

—

IFBench

34.8

76.5

B +41.7 pts

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

49.6

—

—

Terminal-Bench 2.1

16.9

64.0

B +47.1 pts

Aider Polyglot

55.1

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

50.0

—

—

SciCode

35.8

50.8

B +15.0 pts

CursorBench

—

—

—

SWE-Rebench

23.3

41.4

B +18.1 pts

NL2Repo-Bench

—

38.5

—

DeepSWE

—

12.8

—

WebDev Arena

—

1,446

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,358

1,457

B +99 Elo

DeepSeek V3

Context
128K / 8K out
Parameters
671B (37B act.)
Price
$0.27 / $1.10
Speed
80 tok/s · 0.4s TTFT
Modalities
text → text
License
MIT

Original DeepSeek V3 MoE - the release that reset open-weight price/performance expectations.

DeepSeek V4 Pro

Context
1M / 384K out
Parameters
1.6T (49B act.)
Price
$0.43 / $0.87
Speed
85 tok/s · 0.4s TTFT
Modalities
text → text
License
MIT

Open-weight frontier MoE - exceptional quality-per-dollar with MIT license and 1M context. Scores shown are the original preview; the GA 0813 release improves agentic coding substantially.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

Reasoning & knowledge

GPQA: B +33.1HLE: B +34.6AA-LCR: B +45.4Omniscience Acc.: B +17.5IFBench: B +41.7

Coding

TermBench: B +47.1SciCode: B +15.0SWE-Rebench: B +18.1

Tool use & function calling

τ³-Banking: B +25.4

Arena

Arena Elo: B +99

Composite indices

AA Index: B +22.4AA Index v4.3: B +22.4

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