GPT-5.6 Luna vs Qwen3.8 Flash: Specs & Benchmark Comparison

CharacteristicGPT-5.6 LunaQwen3.8 Flash
CompanyOpenAIAlibaba
Release DateJuly 9, 2026August 26, 2026
Parameters125B
MultimodalYesYes
Context (input)1.1M1.0M
Context (output)128K131K
Input Price / 1M$0.20$0.15
Output Price / 1M$1.20$0.47
Average Score0.50.7
Benchmarks
OSWorld 2.00.50.2
Toolathlon0.50.7
DeepSWE 1.10.70.6
Agents' Last Exam0.50.5
GPQA0.90.9
SWE-Bench Pro0.60.6

Visual Benchmark Comparison

GPT-5.6 Luna
Qwen3.8 Flash
OSWorld 2.00.5 vs 0.2
0.5
0.2
Toolathlon0.5 vs 0.7
0.5
0.7
DeepSWE 1.10.7 vs 0.6
0.7
0.6
Agents' Last Exam0.5 vs 0.5
0.5
0.5
GPQA0.9 vs 0.9
0.9
0.9
SWE-Bench Pro0.6 vs 0.6
0.6
0.6

Verdict

Qwen3.8 Flash leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-5.6 Luna — 0.5, Qwen3.8 Flash — 0.7.

API Cost

Qwen3.8 Flash is 2.3x cheaper: input $0.15/1M vs $0.20/1M tokens.

Context Window

GPT-5.6 Luna supports a larger context: 1M vs 1M tokens.

Recency

Qwen3.8 Flash is newer: released 8/26/2026 vs 7/9/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — GPT-5.6 Luna or Qwen3.8 Flash?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GPT-5.6 Luna or Qwen3.8 Flash?
Qwen3.8 Flash is cheaper for input: $0.15 per 1M tokens vs $0.20.
Which has a larger context window — GPT-5.6 Luna or Qwen3.8 Flash?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 1,048,576.

The GPT-5.6 Luna and Qwen3.8 Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.6 Luna or Qwen3.8 Flash page. See also the complete list of AI model comparisons.