LLM Comparison

Qwen3.8 Flash Next vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Flash Next vs GPT-5.5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardQwen3.8 Flash Next model pageGPT-5.5 model page
Rank #9 vs #16AskClash overall scores 65.8 vs 64.3.
Pricing $0.16/$0.47 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Flash Next vs GPT-5.5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricQwen3.8 Flash NextGPT-5.5
Overall Score65.864.3
Leaderboard Rank#9#16
ACB66.562.0
RWT—8.0
Coding Agent Index—61.0
HLE35.952.2
GPQA91.793.6
IFEval81.375.9
SWE-Pro62.558.6
SWE-Atlas—36.0
Terminal-Bench86.182.7
DeepSWE58.767.0
GDPval-AA1743.01395.8
OSWorld—78.7
MCP Atlas—75.3
Finance Agent—51.8
CharXiv90.6—
MMMU-Pro79.881.2
ARC-AGI 2—85.0
Tau2—98.0
Input Price (per 1M tokens)$0.16$5.00
Output Price (per 1M tokens)$0.47$30.0
Context Window1M1M
Benchmarks Published1117

Qwen3.8 Flash Next vs GPT-5.5 head-to-head charts

Qwen3.8 Flash Next leads 6 and GPT-5.5 leads 4 of 10 shared benchmarks. Qwen3.8 Flash Next is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Flash NextGPT-5.5
Overall
65.8Qwen3.8 Flash Next
64.3GPT-5.5
ACB
66.5Qwen3.8 Flash Next
62.0GPT-5.5
HLE
35.9Qwen3.8 Flash Next
52.2GPT-5.5
GPQA
91.7Qwen3.8 Flash Next
93.6GPT-5.5
IFEval
81.3Qwen3.8 Flash Next
75.9GPT-5.5
SWE-Pro
62.5Qwen3.8 Flash Next
58.6GPT-5.5
Terminal-Bench
86.1Qwen3.8 Flash Next
82.7GPT-5.5
DeepSWE
58.7Qwen3.8 Flash Next
67.0GPT-5.5
GDPval-AA
1743.0Qwen3.8 Flash Next
1395.8GPT-5.5
MMMU-Pro
79.8Qwen3.8 Flash Next
81.2GPT-5.5
Qwen3.8 Flash Next
Input$0.16
Output$0.47
Workload$0.25
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Qwen3.8 Flash Next and GPT-5.5 comparisons

Explore how Qwen3.8 Flash Next and GPT-5.5 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Qwen3.8 Flash NextClaude Fable 5.1 vs GPT-5.5Claude Fable 5 vs Qwen3.8 Flash NextClaude Fable 5 vs GPT-5.5Claude Opus 5 vs Qwen3.8 Flash NextClaude Opus 5 vs GPT-5.5GPT-5.6 Sol vs Qwen3.8 Flash NextGPT-5.6 Sol vs GPT-5.5GPT-6 Astra vs Qwen3.8 Flash NextGPT-6 Astra vs GPT-5.5

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.