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A · open · DeepSeek

DeepSeek-V2

DeepSeek

B · open · DeepSeek

DeepSeek V4 Flash

DeepSeek

0:3

overall capability wins (0 ties across 3 scored). DeepSeek V4 Flash leads overall.

  • Speed0:2
  • Specs0:3

Verdict

DeepSeek V4 Flash offers ~7.8x larger context (1M vs 128K); DeepSeek V4 Flash allows ~46.9x more max output (384K vs 8K).

  • DeepSeek V4 Flash offers ~7.8x larger context (1M vs 128K)
  • DeepSeek V4 Flash allows ~46.9x more max output (384K vs 8K)

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

DeepSeek-V2
$0.21
DeepSeek V4 Flash
$0.21

Price per 1M tokens

Full comparison

Organization

DeepSeek

DeepSeek

Family

DeepSeek

DeepSeek

License

DeepSeek

MIT

Open weights

Yes

Yes

Release

May 6, 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

236B (21B act.)

284B (13B act.)

B +48

Pricing

Input $/1M

$0.14

$0.14

tie

Output $/1M

$0.28

$0.28

tie

Blended $/1M (3∶1)

$0.18

$0.18

tie

Speed

tok/s

80

120

B +40

TTFT (s)

0.4

0.25

B +0.15

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

—

89.4

—

Humanity's Last Exam

—

34.8

—

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

36.8

—

AA-LCR v1.1

—

74.3

—

CritPt

—

7.1

—

MMMU-Pro

—

—

—

IFBench

—

79.2

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

61.8

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

—

45.3

—

CursorBench

—

—

—

SWE-Rebench

—

38.4

—

NL2Repo-Bench

—

39.4

—

DeepSWE

—

7.3

—

WebDev Arena

—

1,580

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

1,436

—

DeepSeek-V2

Context
128K / 8K out
Parameters
236B (21B act.)
Price
$0.14 / $0.28
Speed
80 tok/s · 0.4s TTFT
Modalities
text → text
License
DeepSeek

MLA MoE general chat model that established DeepSeek's cost-efficient API reputation.

DeepSeek V4 Flash

Context
1M / 384K out
Parameters
284B (13B act.)
Price
$0.14 / $0.28
Speed
120 tok/s · 0.25s TTFT
Modalities
text → text
License
MIT

Budget DeepSeek V4 API tier (Apr 2026 preview). Superseded by DeepSeek-V4-Flash-0731 (public beta), which re-post-trains the same architecture and reports far stronger agent benchmarks.

Benchmark charts

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

These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.

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