DeepSeek-R1 vs Gemini 2.5 Flash
DeepSeek vs Google · Prices checked November 11, 2026
The two are closer than they look: Gemini 2.5 Flash at $0.9600 per million tokens blended, DeepSeek-R1 at $1.04, a 8 per cent difference. A single 100K-input, 10K-output job costs $0.0550 on Gemini 2.5 Flash against $0.0769 on DeepSeek-R1.
Pricing and capacity
RatesUSD per million tokens. Prices checked November 11, 2026.
| Metric | DeepSeek-R1 | Gemini 2.5 Flash | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.5500 | $0.3000 | 45% |
| Output / 1M tokens | $2.19 | $2.50 | 12% |
| Blended · 70/30calculated | $1.04 | $0.9600 | 8% |
| Blended · 50/50calculated | $1.37 | $1.40 | 2% |
| Blended · 80/20calculated | $0.8780 | $0.7400 | 16% |
| Blended · 20/80calculated | $1.86 | $2.06 | 10% |
| Job cost · 100K + 10Kcalculated | $0.0769 | $0.0550 | 28% |
| Job cost · 1M + 100Kcalculated | $0.7690 | $0.5500 | 28% |
| Context window | 64,000 | 1,000,000 | 15.6× |
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.
Which is cheaper depends on the shape of your workload: Gemini 2.5 Flash for input-heavy retrieval, DeepSeek-R1 once output dominates. Of the 6 shared benchmarks, DeepSeek-R1 takes 4. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 11 points. On context, Gemini 2.5 Flash is the larger at 1,000,000 tokens versus 64,000.
Benchmarks
| Benchmark | DeepSeek-R1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| MMLU | 90.8% | 84% | DeepSeek-R1 |
| GPQA Diamond | 71.5% | 82.8% | Gemini 2.5 Flash |
| MATH | 95% | 87% | DeepSeek-R1 |
| HumanEval | 90% | 87% | DeepSeek-R1 |
| SWE-bench Verified | 49.2% | 48.9% | DeepSeek-R1 |
| LMArena Elo | 1398 Elo | 1409 Elo | Gemini 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
DeepSeek-R1
DeepSeek · Reasoning
Open-weights reasoning model with chain-of-thought trained via RL. Comparable to o1 on math benchmarks at a fraction of the price.
- Open-weights reasoning
- Visible chain-of-thought
- Math & code
- Cheap
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, DeepSeek-R1 or Gemini 2.5 Flash?
The two are closer than they look: Gemini 2.5 Flash at $0.9600 per million tokens blended, DeepSeek-R1 at $1.04, a 8 per cent difference. A single 100K-input, 10K-output job costs $0.0550 on Gemini 2.5 Flash against $0.0769 on DeepSeek-R1. 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, DeepSeek-R1 or Gemini 2.5 Flash?
Of the 6 shared benchmarks, DeepSeek-R1 takes 4. The widest gap is on GPQA Diamond, where Gemini 2.5 Flash leads by 11 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, DeepSeek-R1 or Gemini 2.5 Flash?
On context, Gemini 2.5 Flash is the larger at 1,000,000 tokens versus 64,000. 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 DeepSeek-R1 and Gemini 2.5 Flash 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.