Gemini 2.5 Flash vs GPT-4.1
Google vs OpenAI · Prices checked November 11, 2026
On blended cost Gemini 2.5 Flash undercuts GPT-4.1 by about 4.0×: $0.9600 per million tokens versus $3.80. A single 100K-input, 10K-output job costs $0.0550 on Gemini 2.5 Flash against $0.2800 on GPT-4.1.
Pricing and capacity
RatesUSD per million tokens. Prices checked November 11, 2026.
| Metric | Gemini 2.5 Flash | GPT-4.1 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.3000 | $2.00 | 6.7× |
| Output / 1M tokens | $2.50 | $8.00 | 3.2× |
| Blended · 70/30calculated | $0.9600 | $3.80 | 4.0× |
| Blended · 50/50calculated | $1.40 | $5.00 | 3.6× |
| Blended · 80/20calculated | $0.7400 | $3.20 | 4.3× |
| Blended · 20/80calculated | $2.06 | $6.80 | 3.3× |
| Job cost · 100K + 10Kcalculated | $0.0550 | $0.2800 | 5.1× |
| Job cost · 1M + 100Kcalculated | $0.5500 | $2.80 | 5.1× |
| Context window | 1,000,000 | 1,000,000 | level |
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.
Of the 6 shared benchmarks, GPT-4.1 takes 4. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 17 points. 1 suite tied. Context is level at 1,000,000 tokens on each side.
Benchmarks
| Benchmark | Gemini 2.5 Flash | GPT-4.1 | Leader |
|---|---|---|---|
| MMLU | 84% | 90.2% | GPT-4.1 |
| GPQA Diamond | 82.8% | 66.3% | Gemini 2.5 Flash |
| MATH | 87% | 87% | Level |
| HumanEval | 87% | 94.5% | GPT-4.1 |
| SWE-bench Verified | 48.9% | 54.6% | GPT-4.1 |
| LMArena Elo | 1409 Elo | 1415 Elo | GPT-4.1 |
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
Frequently asked questions
Which is cheaper, Gemini 2.5 Flash or GPT-4.1?
On blended cost Gemini 2.5 Flash undercuts GPT-4.1 by about 4.0×: $0.9600 per million tokens versus $3.80. A single 100K-input, 10K-output job costs $0.0550 on Gemini 2.5 Flash against $0.2800 on GPT-4.1. 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-4.1?
Of the 6 shared benchmarks, GPT-4.1 takes 4. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 17 points. 1 suite tied. 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-4.1?
Context is level at 1,000,000 tokens on each side. 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-4.1 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 November 11, 2026.