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A · open · Qwen

Qwen3 235B-A22B

Alibaba

B · open · Qwen

Qwen3.8 Flash Next

Alibaba

0:6

overall capability wins (0 ties across 6 scored). Qwen3.8 Flash Next leads overall.

  • Reasoning0:3
  • Coding0:1
  • Pricing0:3
  • Speed2:0
  • Specs0:2

Verdict

Qwen3.8 Flash Next leads coding (widest gap: +10.7 on SciCode); Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K); Qwen3.8 Flash Next allows ~4.0x more max output (131K vs 33K).

  • Qwen3.8 Flash Next leads coding (widest gap: +10.7 on SciCode)
  • Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K)
  • Qwen3.8 Flash Next allows ~4.0x more max output (131K vs 33K)
  • Qwen3.8 Flash Next is ~1.9x cheaper on a blended token basis than Qwen3 235B-A22B

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Qwen3 235B-A22B
$0.51
Qwen3.8 Flash Next
$0.27

Qwen3.8 Flash Next is about 1.9x cheaper on this workload.

Price per 1M tokens

Full comparison

Organization

Alibaba

Alibaba

Family

Qwen

Qwen

License

Apache 2.0

Qwen Community License 1.0

Open weights

Yes

Yes

Release

Apr 29, 2025

Aug 26, 2026

Knowledge cutoff

-

-

API / provider

Together / Fireworks (ref.)

Alibaba (QwenCloud)

Modalities

text → text

text, image, video → text

Specs

Context window

131K

262K

B +131K

Max output

33K

131K

B +98K

Parameters

235B (22B act.)

—

—

Pricing

Input $/1M

$0.30

$0.15

B +$0.15

Output $/1M

$0.85

$0.47

B +$0.38

Blended $/1M (3∶1)

$0.44

$0.23

B +$0.21

Speed

tok/s

80

77.3

A +2.70

TTFT (s)

0.35

2.79

A +2.44

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

70.0

92.3

B +22.3 pts

Humanity's Last Exam

11.0

38.0

B +27.0 pts

AIME 2025

81.5

—

—

MATH-500

98.0

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

18.5

24.5

B +6.0 pts

AA-LCR v1.1

—

79.7

—

CritPt

—

11.1

—

MMMU-Pro

—

79.8

—

IFBench

38.7

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

21.4

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

80.4

—

—

Terminal-Bench 2.1

—

86.1

—

Aider Polyglot

59.6

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

39.9

50.6

B +10.7 pts

CursorBench

—

—

—

SWE-Rebench

18.5

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,635

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,375

—

—

Qwen3 235B-A22B

Context
131K / 33K out
Parameters
235B (22B act.)
Price
$0.30 / $0.85
Speed
80 tok/s · 0.35s TTFT
Modalities
text → text
License
Apache 2.0

Widely used open Qwen3 MoE - strong multilingual and tool-use performance.

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.

Benchmark charts

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

Reasoning & knowledge

GPQA: B +22.3HLE: B +27.0Omniscience Acc.: B +6.0

Coding

SciCode: B +10.7

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