Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

Gemini 2.5 Flash vs GPT-4o

Google vs OpenAI · Prices checked 12 August 2026

Gemini 2.5 Flash is the cheaper of the two by a wide margin: $0.285 per million tokens blended against $4.75, roughly 16.7× less. A single 100K-input, 10K-output job costs $0.021 on Gemini 2.5 Flash against $0.350 on GPT-4o.

Gemini 2.5 Flash leads on 4 of the 6 benchmarks both models report. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 17 points. Gemini 2.5 Flash takes a 1,000,000-token context window against 128,000, giving 7.8× more room for long documents or whole-codebase work.

Pricing and capacity

Published token pricing and context window for Gemini 2.5 Flash and GPT-4o
MetricGemini 2.5 FlashGPT-4oDifference
Input / 1M tokens$0.150$2.5016.7×
Output / 1M tokens$0.600$10.0016.7×
Blended · 70/30calculated$0.285$4.7516.7×
Blended · 50/50calculated$0.375$6.2516.7×
Blended · 80/20calculated$0.240$4.0016.7×
Blended · 20/80calculated$0.510$8.5016.7×
Job cost · 100K + 10Kcalculated$0.021$0.35016.7×
Job cost · 1M + 100Kcalculated$0.210$3.5016.7×
Context window1,000,000128,0007.8×

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Benchmarks

Benchmark scores both Gemini 2.5 Flash and GPT-4o report
BenchmarkGemini 2.5 FlashGPT-4oLeader
MMLU84%88%GPT-4o
GPQA Diamond70%53%Gemini 2.5 Flash
MATH87%76%Gemini 2.5 Flash
HumanEval87%90%GPT-4o
SWE-bench Verified48%33%Gemini 2.5 Flash
LMArena Elo1325 Elo1316 EloGemini 2.5 Flash

Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.

What each model is for

Gemini 2.5 Flash

Google · Balanced

Speed-optimised Gemini for high-throughput production. Same multimodal surface as Pro at a fraction of the price.

  • Fast
  • 1M context
  • Native multimodal
  • Very cheap

GPT-4o

OpenAI · Flagship

The "omni" multimodal GPT-4. Native text, vision and audio. Retired from ChatGPT in April 2026 but remains available via the API.

  • Native audio + vision
  • Fast
  • Wide ecosystem support

Frequently asked questions

Which is cheaper, Gemini 2.5 Flash or GPT-4o?

Gemini 2.5 Flash is the cheaper of the two by a wide margin: $0.285 per million tokens blended against $4.75, roughly 16.7× less. A single 100K-input, 10K-output job costs $0.021 on Gemini 2.5 Flash against $0.350 on GPT-4o. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which performs better, Gemini 2.5 Flash or GPT-4o?

Gemini 2.5 Flash leads on 4 of the 6 benchmarks both models report. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 17 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.

Which has the larger context window, Gemini 2.5 Flash or GPT-4o?

Gemini 2.5 Flash takes a 1,000,000-token context window against 128,000, giving 7.8× more room for long documents or whole-codebase work. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare Gemini 2.5 Flash and GPT-4o on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.