LLM Comparison

GPT-6 Astra vs Gemini 3.5 Flash: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Gemini 3.5 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-6 Astra ranks higher (#8 vs #100) and wins 6 of 6 shared benchmarks.

Rank #8 vs #100AskClash overall scores 70.9 vs 49.5.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightsOpenAI vs Google.

GPT-6 Astra vs Gemini 3.5 Flash benchmark comparison

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

MetricGPT-6 AstraGemini 3.5 Flash
Overall Score70.949.5
Leaderboard Rank#8#100
ACB64.5—
RWT9.57.0
Coding Agent Index67.0—
HLE57.242.7
GPQA96.092.2
IFEval—76.3
Terminal-Bench59.1—
DeepSWE73.2—
GDPval-AA1629.31202.6
Finance Agent53.5—
MMMU-Pro87.084.3
ARC-AGI 295.072.1
Tau2—95.3
MRCR100.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1.05M1M
Benchmarks Published138

GPT-6 Astra vs Gemini 3.5 Flash head-to-head charts

GPT-6 Astra leads 7 and Gemini 3.5 Flash leads 0 of 7 shared benchmarks. Charts show only benchmarks both models publish.

GPT-6 AstraGemini 3.5 Flash
Overall
70.9GPT-6 Astra
49.5Gemini 3.5 Flash
RWT
9.5GPT-6 Astra
7.0Gemini 3.5 Flash
HLE
57.2GPT-6 Astra
42.7Gemini 3.5 Flash
GPQA
96.0GPT-6 Astra
92.2Gemini 3.5 Flash
GDPval-AA
1629.3GPT-6 Astra
1202.6Gemini 3.5 Flash
MMMU-Pro
87.0GPT-6 Astra
84.3Gemini 3.5 Flash
ARC-AGI 2
95.0GPT-6 Astra
72.1Gemini 3.5 Flash
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Gemini 3.5 Flash
Input—
Output—
Workload—
Context1M

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

More GPT-6 Astra and Gemini 3.5 Flash comparisons

Explore how GPT-6 Astra and Gemini 3.5 Flash stack up against other top-ranked LLMs.

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.