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A · open · DeepSeek

DeepSeek-R1 Distill Llama 8B

DeepSeek

B · open · DeepSeek

DeepSeek V4 Pro

DeepSeek

0:6

overall capability wins (0 ties across 6 scored). DeepSeek V4 Pro leads overall.

  • Reasoning0:2
  • Coding0:1
  • Pricing3:0
  • Speed2:0
  • Specs0:3

Verdict

DeepSeek V4 Pro leads coding (widest gap: +38.9 on SciCode); DeepSeek V4 Pro offers ~7.8x larger context (1M vs 128K); DeepSeek V4 Pro allows ~46.9x more max output (384K vs 8K).

  • DeepSeek V4 Pro leads coding (widest gap: +38.9 on SciCode)
  • DeepSeek V4 Pro offers ~7.8x larger context (1M vs 128K)
  • DeepSeek V4 Pro allows ~46.9x more max output (384K vs 8K)
  • DeepSeek-R1 Distill Llama 8B is ~5.4x cheaper on a blended token basis than DeepSeek V4 Pro

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

DeepSeek-R1 Distill Llama 8B
$0.13
DeepSeek V4 Pro
$0.65

DeepSeek-R1 Distill Llama 8B is about 5.2x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

DeepSeek

DeepSeek

Family

DeepSeek

DeepSeek

License

MIT

MIT

Open weights

Yes

Yes

Release

Jan 20, 2025

Apr 24, 2026

Knowledge cutoff

-

-

API / provider

Together / Fireworks (ref.)

DeepSeek

Modalities

text → text

text → text

Specs

Context window

128K

1M

B +872K

Max output

8K

384K

B +376K

Parameters

8B

1.6T (49B act.)

B +2K

Pricing

Input $/1M

$0.10

$0.43

A +$0.33

Output $/1M

$0.10

$0.87

A +$0.77

Blended $/1M (3∶1)

$0.10

$0.54

A +$0.44

Speed

tok/s

130

85

A +45

TTFT (s)

0.2

0.4

A +0.20

Reasoning

MMLU-Pro

54.3

—

—

GPQA Diamond

30.2

88.8

B +58.6 pts

Humanity's Last Exam

—

37.5

—

AIME 2025

41.3

—

—

MATH-500

89.1

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

43.0

—

AA-LCR v1.1

—

74.7

—

CritPt

—

12.9

—

MMMU-Pro

—

—

—

IFBench

17.6

76.5

B +58.9 pts

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

39.6

—

—

Terminal-Bench 2.1

—

64.0

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

10.6

—

—

SciCode

11.9

50.8

B +38.9 pts

CursorBench

—

—

—

SWE-Rebench

—

41.4

—

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

—

1,457

—

DeepSeek-R1 Distill Llama 8B

Context
128K / 8K out
Parameters
8B
Price
$0.10 / $0.10
Speed
130 tok/s · 0.2s TTFT
Modalities
text → text
License
MIT

Smallest popular Llama-based R1 distill — edge and high-throughput open reasoning at sub-$0.15/1M rates.

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 +58.6IFBench: B +58.9

Coding

SciCode: B +38.9

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