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A · open · Qwen

Qwen3.8 27B

Alibaba

B · open · Qwen

Qwen3-Coder 30B-A3B

Alibaba

7:2

overall capability wins (0 ties across 9 scored). Qwen3.8 27B leads overall.

  • Reasoning3:1
  • Coding2:0
  • Specs2:1

Verdict

Qwen3.8 27B leads coding (widest gap: +50.0 on LiveCode); Qwen3.8 27B offers ~1.6x larger context (262K vs 160K); Qwen3.8 27B allows ~8.0x more max output (131K vs 16K).

  • Qwen3.8 27B leads coding (widest gap: +50.0 on LiveCode)
  • Qwen3.8 27B offers ~1.6x larger context (262K vs 160K)
  • Qwen3.8 27B allows ~8.0x more max output (131K vs 16K)

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Qwen3.8 27B
-
Qwen3-Coder 30B-A3B
$0.14

Price per 1M tokens

Full comparison

Organization

Alibaba

Alibaba

Family

Qwen

Qwen

License

Apache 2.0

Apache 2.0

Open weights

Yes

Yes

Release

Aug 14, 2026

Jul 22, 2025

Knowledge cutoff

-

-

API / provider

No primary API price listed

Alibaba / Together (ref.)

Modalities

text, image, video → text

text → text

Specs

Context window

262K

160K

A +102K

Max output

131K

16K

A +115K

Parameters

27B

30B (3B act.)

B +3.00

Pricing

Input $/1M

—

$0.07

—

Output $/1M

—

$0.27

—

Blended $/1M (3∶1)

-

$0.12

—

Speed

tok/s

-

120

—

TTFT (s)

-

0.25

—

Reasoning

MMLU-Pro

—

70.6

—

GPQA Diamond

90.5

51.6

A +38.9 pts

Humanity's Last Exam

33.9

3.8

A +30.1 pts

AIME 2025

—

29.0

—

MATH-500

—

89.3

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

15.6

16.4

B +0.8 pts

AA-LCR v1.1

82.0

32.7

A +49.3 pts

CritPt

5.4

—

—

MMMU-Pro

76.3

—

—

IFBench

—

32.7

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

61.7

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

90.3

40.3

A +50.0 pts

Terminal-Bench 2.1

79.8

—

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

46.6

27.8

A +18.8 pts

CursorBench

—

—

—

SWE-Rebench

—

21.6

—

NL2Repo-Bench

42.3

—

—

DeepSWE

42.2

—

—

WebDev Arena

1,593

—

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,437

—

—

Qwen3.8 27B

Context
262K / 131K out
Parameters
27B
Price
—
Speed
—
Modalities
text, image, video → text
License
Apache 2.0

Open-weight Qwen3.8 27B dense vision-language model (Apache-2.0, released Aug 14, 2026) — native image and video understanding, 262K context extensible to 1M, flexible thinking control via reasoning_effort, and strong agentic coding for its size (Terminal-Bench 2.1 73.0, SWE-bench Pro 61.7, GPQA Diamond 89.2).

Qwen3-Coder 30B-A3B

Context
160K / 16K out
Parameters
30B (3B act.)
Price
$0.07 / $0.27
Speed
120 tok/s · 0.25s TTFT
Modalities
text → text
License
Apache 2.0

Sparse coding MoE in the Qwen3-Coder line — efficient agent edits without full 480B cost.

Benchmark charts

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

Reasoning & knowledge

GPQA: A +38.9HLE: A +30.1AA-LCR: A +49.3Omniscience Acc.: B +0.8

Coding

LiveCode: A +50.0SciCode: A +18.8

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