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A · open · Qwen

Qwen2.5-Coder 32B

Alibaba

B · open · Qwen

Qwen3.8 Flash Next

Alibaba

0:4

overall capability wins (0 ties across 4 scored). Qwen3.8 Flash Next leads overall.

  • Reasoning0:2
  • Pricing0:3
  • Speed1:1
  • Specs0:2

Verdict

Qwen3.8 Flash Next edges reasoning & knowledge; Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 128K); Qwen3.8 Flash Next allows ~16.0x more max output (131K vs 8K).

  • Qwen3.8 Flash Next edges reasoning & knowledge
  • Qwen3.8 Flash Next offers ~2.0x larger context (262K vs 128K)
  • Qwen3.8 Flash Next allows ~16.0x more max output (131K vs 8K)
  • Qwen3.8 Flash Next is ~3.5x cheaper on a blended token basis than Qwen2.5-Coder 32B

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Qwen2.5-Coder 32B
$1
Qwen3.8 Flash Next
$0.27

Qwen3.8 Flash Next is about 3.7x 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

Nov 12, 2024

Aug 26, 2026

Knowledge cutoff

-

-

API / provider

Together / Fireworks (ref.)

Alibaba (QwenCloud)

Modalities

text → text

text, image, video → text

Specs

Context window

128K

262K

B +134K

Max output

8K

131K

B +123K

Parameters

32B

—

—

Pricing

Input $/1M

$0.80

$0.15

B +$0.65

Output $/1M

$0.80

$0.47

B +$0.33

Blended $/1M (3∶1)

$0.80

$0.23

B +$0.57

Speed

tok/s

60

77.3

B +17

TTFT (s)

0.4

2.79

A +2.39

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

41.7

92.3

B +50.6 pts

Humanity's Last Exam

3.5

38.0

B +34.5 pts

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

—

24.5

—

AA-LCR v1.1

—

79.7

—

CritPt

—

11.1

—

MMMU-Pro

—

79.8

—

IFBench

—

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

9.0

—

—

SWE-bench Pro

—

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

—

86.1

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

49.0

—

—

SciCode

—

50.6

—

CursorBench

—

—

—

SWE-Rebench

3.1

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

—

1,635

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,271

—

—

Qwen2.5-Coder 32B

Context
128K / 8K out
Parameters
32B
Price
$0.80 / $0.80
Speed
60 tok/s · 0.4s TTFT
Modalities
text → text
License
Apache 2.0

Leading open coding model of late 2024 — strong repo-level edits before Qwen3-Coder.

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 +50.6HLE: B +34.5

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