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-5.6 Terra vs Gemini 3.8 Flash: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Terra vs Gemini 3.8 Flash 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-5.6 Terra ranks higher (#13 vs #17); Gemini 3.8 Flash wins 7 of 11 shared benchmarks; Gemini 3.8 Flash costs less ($1.50/$7.50 vs $2.50/$15.0 per 1M tokens).
Rank #13 vs #17AskClash overall scores 63.0 vs 59.7.
Pricing $2.50/$15.0 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.
GPT-5.6 Terra vs Gemini 3.8 Flash benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Terra | Gemini 3.8 Flash |
|---|---|---|
| Overall Score | 63.0 | 59.7 |
| Leaderboard Rank | #13 | #17 |
| ACB | 56.4 | 61.1 |
| RWT | 8.5 | — |
| Coding Agent Index | 77.0 | 41.9 |
| HLE | 42.9 | 54.9 |
| GPQA | 92.9 | 95.3 |
| IFEval | 71.2 | — |
| SWE-Pro | 63.4 | — |
| SWE-Atlas | 81.0 | 45.2 |
| Terminal-Bench | 35.4 | 19.7 |
| DeepSWE | 69.6 | 73.8 |
| GDPval-AA | 1593.0 | 1545.0 |
| Finance Agent | 54.4 | 61.4 |
| CharXiv | — | 86.2 |
| MMMU-Pro | 80.7 | 85.6 |
| ARC-AGI 2 | 83.9 | 89.2 |
| Tau2 | 86.3 | — |
| MRCR | 89.6 | — |
| Input Price (per 1M tokens) | $2.50 | $1.50 |
| Output Price (per 1M tokens) | $15.0 | $7.50 |
| Context Window | 1M | 1M |
| Benchmarks Published | 15 | 15 |
GPT-5.6 Terra vs Gemini 3.8 Flash head-to-head charts
GPT-5.6 Terra leads 5 and Gemini 3.8 Flash leads 7 of 12 shared benchmarks. Gemini 3.8 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 TerraGemini 3.8 Flash
Overall
ACB
Coding Agent Index
HLE
GPQA
SWE-Atlas
Terminal-Bench
DeepSWE
GDPval-AA
Finance Agent
MMMU-Pro
ARC-AGI 2
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
Gemini 3.8 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More GPT-5.6 Terra and Gemini 3.8 Flash comparisons
Explore how GPT-5.6 Terra and Gemini 3.8 Flash 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.