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A · open · Qwen

Qwen3 32B

Alibaba

B · open · Qwen

Qwen3.8 Flash Next

Alibaba

0:9

overall capability wins (0 ties across 9 scored). Qwen3.8 Flash Next leads overall.

  • Reasoning0:4
  • Coding0:2
  • Tool use0:1
  • Composite indices0:2
  • Pricing3:0
  • Speed2:0
  • Specs0:2

Verdict

Qwen3.8 Flash Next leads coding (widest gap: +80.9 on TermBench); Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K); Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K).

  • Qwen3.8 Flash Next leads coding (widest gap: +80.9 on TermBench)
  • Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 131K)
  • Qwen3.8 Flash Next allows ~8.0x more max output (131K vs 16K)
  • Qwen3 32B is ~1.5x 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 32B
$0.17
Qwen3.8 Flash Next
$0.27

Qwen3 32B is about 1.5x 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

16K

131K

B +115K

Parameters

32B

—

—

Pricing

Input $/1M

$0.10

$0.15

A +$0.05

Output $/1M

$0.30

$0.47

A +$0.17

Blended $/1M (3∶1)

$0.15

$0.23

A +$0.08

Speed

tok/s

100

77.3

A +23

TTFT (s)

0.25

2.79

A +2.54

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

66.8

92.3

B +25.5 pts

Humanity's Last Exam

7.4

38.0

B +30.6 pts

AIME 2025

72.9

—

—

MATH-500

97.2

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

17.4

24.5

B +7.1 pts

AA-LCR v1.1

—

79.7

—

CritPt

0.3

11.1

B +10.8 pts

MMMU-Pro

—

79.8

—

IFBench

36.3

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

—

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

65.7

—

—

Terminal-Bench 2.1

5.2

86.1

B +80.9 pts

Aider Polyglot

40.0

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

36.0

50.6

B +14.6 pts

CursorBench

—

—

—

SWE-Rebench

8.1

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,635

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,347

—

—

Qwen3 32B

Context
131K / 16K out
Parameters
32B
Price
$0.10 / $0.30
Speed
100 tok/s · 0.25s TTFT
Modalities
text → text
License
Apache 2.0

Dense 32B open model that fits a single H100 - popular self-host coding choice.

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 +25.5HLE: B +30.6CritPt: B +10.8Omniscience Acc.: B +7.1

Coding

TermBench: B +80.9SciCode: B +14.6

Tool use & function calling

τ³-Banking: B +40.0

Composite indices

AA Index: B +32.7AA Index v4.3: B +32.7

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