Qwen3.8-27B vs Qwen3.8 Flash Next: Specs & Benchmark Comparison

Qwen3.8-27B and Qwen3.8 Flash Next both come from Alibaba, and both were released in August 2026. Qwen3.8 Flash Next is the larger model at roughly 180 billion parameters, against 28 billion for Qwen3.8-27B.

The two models share 18 published benchmarks. Qwen3.8 Flash Next leads on 18 of them. The widest gaps are on Job Bench, where Qwen3.8 Flash Next scores 55.7% against 33.4%; DeepSWE 1.1, where Qwen3.8 Flash Next scores 58.7% against 42.2%. Averaged across everything we track, Qwen3.8-27B sits at 66.3% and Qwen3.8 Flash Next at 67.1%.

Qwen3.8 Flash Next is available through an API at $0.16 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3.8-27B, so pricing and context cannot be compared directly.

CharacteristicQwen3.8-27BQwen3.8 Flash Next
CompanyAlibabaAlibaba
Release DateAugust 14, 2026August 26, 2026
Parameters28B180B
MultimodalYesYes
Context (input)—1.0M
Context (output)—66K
Input Price / 1M—$0.16
Output Price / 1M—$0.47
Average Score66.3%67.1%
Benchmarks
Job Bench33.4%55.7%
DeepSWE 1.142.2%58.7%
Agents' Last Exam42.9%51.2%
ERQA65.5%72.3%
NL2Repo42.3%48.1%
Humanity's Last Exam30.8%35.9%
ClawEval-MM56.9%60.4%
CoWorkBench70.7%73.9%
RecreationBench47.1%49.9%
AndroidWorld81.9%84.5%
RealWorldQA85.9%88.5%
GPQA89.2%91.7%
IFBench79.5%81.3%
LiveCodeBench v690.3%91.9%
MathVision94.6%95.7%
Vision2Web62.9%64.0%
SWE-Bench Pro61.7%62.5%
CharXiv-R90.2%90.6%

Visual Benchmark Comparison

Qwen3.8-27B
Qwen3.8 Flash Next
Job Bench0.3 vs 0.6
0.3
0.6
DeepSWE 1.10.4 vs 0.6
0.4
0.6
Agents' Last Exam0.4 vs 0.5
0.4
0.5
ERQA0.7 vs 0.7
0.7
0.7
NL2Repo0.4 vs 0.5
0.4
0.5
Humanity's Last Exam0.3 vs 0.4
0.3
0.4
ClawEval-MM0.6 vs 0.6
0.6
0.6
CoWorkBench0.7 vs 0.7
0.7
0.7
RecreationBench0.5 vs 0.5
0.5
0.5
AndroidWorld0.8 vs 0.8
0.8
0.8
RealWorldQA0.9 vs 0.9
0.9
0.9
GPQA0.9 vs 0.9
0.9
0.9
IFBench0.8 vs 0.8
0.8
0.8
LiveCodeBench v60.9 vs 0.9
0.9
0.9
MathVision0.9 vs 1.0
0.9
1.0

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: Qwen3.8-27B — 0.7, Qwen3.8 Flash Next — 0.7.

Recency

Both models were released around the same time: 8/14/2026 and 8/26/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — Qwen3.8-27B or Qwen3.8 Flash Next?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Qwen3.8-27B or Qwen3.8 Flash Next?
API pricing data is available on the individual model pages.
Which has a larger context window — Qwen3.8-27B or Qwen3.8 Flash Next?
Context window data is available on the individual model pages.

The Qwen3.8-27B and Qwen3.8 Flash Next comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3.8-27B or Qwen3.8 Flash Next page. See also the complete list of AI model comparisons.