Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Qwen3.8 Flash Next vs Grok 4.6: benchmark scores, pricing & comparison.
Side-by-side Qwen3.8 Flash Next vs Grok 4.6 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.
Rank #8 vs #9AskClash overall scores 65.7 vs 65.6.
Pricing $0.16/$0.47 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs xAI.
Qwen3.8 Flash Next vs Grok 4.6 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Qwen3.8 Flash Next | Grok 4.6 |
|---|---|---|
| Overall Score | 65.7 | 65.6 |
| Leaderboard Rank | #8 | #9 |
| ACB | 66.5 | 69.0 |
| RWT | — | 9.0 |
| HLE | 35.9 | 42.9 |
| GPQA | 91.7 | 94.9 |
| IFEval | 81.3 | — |
| SWE-Pro | 62.5 | — |
| Terminal-Bench | 86.1 | 88.4 |
| DeepSWE | 58.7 | 65.9 |
| GDPval-AA | 1743.0 | 1753.0 |
| Finance Agent | — | 53.7 |
| CharXiv | 90.6 | — |
| MMMU-Pro | 79.8 | — |
| Input Price (per 1M tokens) | $0.16 | $2.00 |
| Output Price (per 1M tokens) | $0.47 | $6.00 |
| Context Window | 1M | 500K |
| Benchmarks Published | 11 | 8 |
Qwen3.8 Flash Next vs Grok 4.6 head-to-head charts
Qwen3.8 Flash Next leads 1 and Grok 4.6 leads 6 of 7 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 NextGrok 4.6
Overall
ACB
HLE
GPQA
Terminal-Bench
DeepSWE
GDPval-AA
Qwen3.8 Flash Next
Input$0.16
Output$0.47
Workload$0.25
Context1M
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Qwen3.8 Flash Next and Grok 4.6 comparisons
Explore how Qwen3.8 Flash Next and Grok 4.6 stack up against other top-ranked LLMs.
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How to read this comparison
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.