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A · open · Qwen

Qwen3.8 Flash Next

Alibaba

B · open · Qwen

Qwen3-Coder 30B-A3B

Alibaba

7:0

overall capability wins (0 ties across 7 scored). Qwen3.8 Flash Next leads overall.

  • Reasoning4:0
  • Coding1:0
  • Pricing0:3
  • Speed0:2
  • Specs2:0

Verdict

Qwen3.8 Flash Next leads coding (widest gap: +22.8 on SciCode); Qwen3.8 Flash Next offers ~1.6x larger context (262K vs 160K); Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K).

  • Qwen3.8 Flash Next leads coding (widest gap: +22.8 on SciCode)
  • Qwen3.8 Flash Next offers ~1.6x larger context (262K vs 160K)
  • Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K)
  • Qwen3-Coder 30B-A3B is ~1.9x cheaper on a blended token basis than Qwen3.8 Flash Next

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Qwen3.8 Flash Next
$0.27
Qwen3-Coder 30B-A3B
$0.14

Qwen3-Coder 30B-A3B is about 1.9x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

Alibaba

Alibaba

Family

Qwen

Qwen

License

Qwen Community License 1.0

Apache 2.0

Open weights

Yes

Yes

Release

Aug 26, 2026

Jul 22, 2025

Knowledge cutoff

-

-

API / provider

Alibaba (QwenCloud)

Alibaba / Together (ref.)

Modalities

text, image, video → text

text → text

Specs

Context window

262K

160K

A +102K

Max output

131K

16K

A +115K

Parameters

—

30B (3B act.)

—

Pricing

Input $/1M

$0.15

$0.07

B +$0.08

Output $/1M

$0.47

$0.27

B +$0.20

Blended $/1M (3∶1)

$0.23

$0.12

B +$0.11

Speed

tok/s

77.3

120

B +43

TTFT (s)

2.79

0.25

B +2.54

Reasoning

MMLU-Pro

—

70.6

—

GPQA Diamond

92.3

51.6

A +40.7 pts

Humanity's Last Exam

38.0

3.8

A +34.2 pts

AIME 2025

—

29.0

—

MATH-500

—

89.3

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

24.5

16.4

A +8.1 pts

AA-LCR v1.1

79.7

32.7

A +47.0 pts

CritPt

11.1

—

—

MMMU-Pro

79.8

—

—

IFBench

—

32.7

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

40.3

—

Terminal-Bench 2.1

86.1

—

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

50.6

27.8

A +22.8 pts

CursorBench

—

—

—

SWE-Rebench

—

21.6

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

1,635

—

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

—

—

—

Qwen3.8 Flash Next

Context
262K / 131K out
Parameters
—
Price
$0.15 / $0.47
Speed
77.3 tok/s · 2.79s TTFT
Modalities
text, image, video → text
License
Qwen Community License 1.0

Open-weight sparse-MoE Flash tier (6B active) previewing the Qwen4 architecture, released Aug 26, 2026 — 262K native context extensible to ~1M with YaRN, tuned for cost efficiency at $0.15/$0.47 per 1M (cache-hit $0.016). Reported total parameter count varies by source (~125-180B). Benchmark figures are Alibaba's self-reported launch numbers (SWE-bench Pro 62.5, HLE 35.9); Artificial Analysis places it at 56 on its Intelligence Index.

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 +40.7HLE: A +34.2AA-LCR: A +47.0Omniscience Acc.: A +8.1

Coding

SciCode: A +22.8

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