💰 Unit Cost Winner Gemini 2.5 Flash $0.30/1M in · $2.50/1M out
⚡ Latency & Speed Winner Gemini 2.5 Flash 110ms TTFT · 180 tok/s
💻 Coding (SWE) Winner GPT-6 Astra 75.7% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning Winner GPT-6 Astra 96% GPQA · 98% MATH-500

Which model is better: Gemini 2.5 Flash or GPT-6 Astra?

Gemini 2.5 Flash is 97.0% cheaper for input tokens ($0.30 vs. $10.00 per 1M tokens) and $2.50 vs. $50.00 for output tokens (33.3x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (630ms faster than GPT-6 Astra) with 180 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 58.0% for Gemini 2.5 Flash and 96.0% vs. 70.5% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension Gemini 2.5 Flash GPT-6 Astra Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $10.00 Gemini 2.5 Flash is 33.3x cheaper
Output Cost / 1M Tokens $2.50 $50.00 Gemini 2.5 Flash (95.0% lower)
Prompt Cache Read / 1M $0.030 $1.000 Gemini 2.5 Flash is 33.3x cheaper
Prompt Cache Write / 1M $0.30 $12.50 Gemini 2.5 Flash is 41.7x cheaper
Context Window (Max Output) 1,049k (66k out) 1,075k (128k out) GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency 110ms 740ms Gemini 2.5 Flash (630ms faster)
Generation Speed (Throughput) 180 tok/s 74 tok/s Gemini 2.5 Flash (+106 tok/s faster)
SWE-bench Verified (Coding) 58% 75.7% GPT-6 Astra (+17.7% lead)
GPQA Diamond (PhD STEM) 70.5% 96% GPT-6 Astra (+25.5% lead)
MMLU-Pro (Multi-Discipline) 82% 91.2% GPT-6 Astra (+9.2% lead)
MATH-500 (Quantitative Logic) 89% 98% GPT-6 Astra (+9.0% lead)
Inference Value Score (IVR) 66.6 / 100 47.6 / 100 Gemini 2.5 Flash (+19 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Gemini 2.5 Flash $16.63

$0.30/1M in · $2.50/1M out

Prompt Cache: $0.030/1M read · $0.30/1M write

GPT-6 Astra $387.50

$10.00/1M in · $50.00/1M out

Prompt Cache: $1.000/1M read · $12.50/1M write

Projected Monthly Cost Reduction
$370.88 / mo
(95.7% lower cost with Gemini 2.5 Flash)
Open Full Matchup Analysis →
A

When to Choose Gemini 2.5 Flash

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).

B

When to Choose GPT-6 Astra

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Gemini 2.5 Flash or GPT-6 Astra?

Gemini 2.5 Flash is cheaper at $0.30/1M input tokens ($2.50/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.

Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Flash or GPT-6 Astra?

Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.

How do Gemini 2.5 Flash and GPT-6 Astra compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Gemini 2.5 Flash scores 58% versus 75.7% for GPT-6 Astra. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Flash scores 70.5% versus 96% for GPT-6 Astra (and 89% vs 98% on MATH-500).

When should you choose Gemini 2.5 Flash?

Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).

When should you choose GPT-6 Astra?

Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M cached reads).

Explore High-Priority Related Model Matchups