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
GPT-6.1 Terra vs Qwen3.8 Max: benchmark scores, pricing & comparison.
Side-by-side GPT-6.1 Terra vs Qwen3.8 Max 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.
Verdict: GPT-6.1 Terra ranks higher (#14 vs #15) and wins 4 of 6 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $2.00/$6.00 per 1M tokens).
Rank #14 vs #15AskClash overall scores 60.7 vs 60.4.
Pricing $1.00/$5.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Alibaba.
GPT-6.1 Terra vs Qwen3.8 Max benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-6.1 Terra | Qwen3.8 Max |
|---|---|---|
| Overall Score | 60.7 | 60.4 |
| Leaderboard Rank | #14 | #15 |
| ACB | 62.1 | 69.3 |
| HLE | 46.2 | 43.6 |
| GPQA | 94.3 | 92.6 |
| IFEval | — | 82.8 |
| SWE-Pro | — | 67.7 |
| SWE-Atlas | — | 66.3 |
| Terminal-Bench | 55.6 | 38.9 |
| DeepSWE | — | 69.3 |
| GDPval-AA | 1467.6 | 1673.9 |
| OSWorld | — | 86.1 |
| Finance Agent | — | 50.6 |
| CharXiv | — | 88.4 |
| MMMU-Pro | 84.7 | 82.7 |
| MRCR | — | 92.9 |
| Input Price (per 1M tokens) | $1.00 | $2.00 |
| Output Price (per 1M tokens) | $5.00 | $6.00 |
| Context Window | 1.05M | 1M |
| Benchmarks Published | 9 | 14 |
GPT-6.1 Terra vs Qwen3.8 Max head-to-head charts
GPT-6.1 Terra leads 5 and Qwen3.8 Max leads 2 of 7 shared benchmarks. GPT-6.1 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-6.1 TerraQwen3.8 Max
Overall
ACB
HLE
GPQA
Terminal-Bench
GDPval-AA
MMMU-Pro
GPT-6.1 Terra
Input$1.00
Output$5.00
Workload$2.00
Context1.05M
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-6.1 Terra and Qwen3.8 Max comparisons
Explore how GPT-6.1 Terra and Qwen3.8 Max 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.