GPT-6 Astra vs Qwen3.8 Flash Next: Specs & Benchmark Comparison

CharacteristicGPT-6 AstraQwen3.8 Flash Next
CompanyOpenAIAlibaba
Release DateSeptember 3, 2026August 26, 2026
Parameters180B
MultimodalYesYes
Context (input)1.1M1.0M
Context (output)128K66K
Input Price / 1M$10.00$0.16
Output Price / 1M$50.00$0.47
Average Score0.70.7
Benchmarks
DeepSWE 1.10.70.6
Agents' Last Exam0.60.5
GPQA Diamond1.00.9

Visual Benchmark Comparison

GPT-6 Astra
Qwen3.8 Flash Next
DeepSWE 1.10.7 vs 0.6
0.7
0.6
Agents' Last Exam0.6 vs 0.5
0.6
0.5
GPQA Diamond1.0 vs 0.9
1.0
0.9

Verdict

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

Overall Performance

Both models show comparable average scores: GPT-6 Astra — 0.7, Qwen3.8 Flash Next — 0.7.

API Cost

Qwen3.8 Flash Next is 95.2x cheaper: input $0.16/1M vs $10.00/1M tokens.

Context Window

GPT-6 Astra supports a larger context: 1M vs 1M tokens.

Recency

Both models were released around the same time: 9/3/2026 and 8/26/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — GPT-6 Astra 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 — GPT-6 Astra or Qwen3.8 Flash Next?
Qwen3.8 Flash Next is cheaper for input: $0.16 per 1M tokens vs $10.00.
Which has a larger context window — GPT-6 Astra or Qwen3.8 Flash Next?
GPT-6 Astra supports a larger context: 1,050,000 tokens vs 1,048,576.

The GPT-6 Astra 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 GPT-6 Astra or Qwen3.8 Flash Next page. See also the complete list of AI model comparisons.