DeepSeek R1 0528 vs Gemini 2.0 Flash vs Gemini 2.5 Flash
Too close to call on our weighted score (Gemini 2.0 Flash 67, Gemini 2.5 Flash 66, DeepSeek R1 0528 53). The right pick depends on what you value most.
DeepSeekDeepSeek R1 0528
53/100- ECI141.2
- Price$0.512 / $2.19
- Context164K
GoogleGemini 2.0 Flash
67/100- ECI134.7
- Price$0.10 / $0.42
- Context1.05M
- Google
Gemini 2.5 Flash
66/100- ECI140.6
- Price$0.30 / $2.50
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (Gemini 2.0 Flash 67/100, Gemini 2.5 Flash 66/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: DeepSeek R1 0528 for raw capability and Gemini 2.0 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek R1 0528Capabilities Index (ECI): DeepSeek R1 0528 141.2 · Gemini 2.5 Flash 140.6 · Gemini 2.0 Flash 134.7
- Lowest priceGemini 2.0 FlashGemini 2.0 Flash $0.18 · Gemini 2.5 Flash $0.85 · DeepSeek R1 0528 $0.932 per 1M tokens (3:1 blend)
- Longest contextGemini 2.0 Flash and Gemini 2.5 FlashGemini 2.0 Flash 1,048,576 · Gemini 2.5 Flash 1,048,576 · DeepSeek R1 0528 163,840 tokens
- Widest inputsGemini 2.0 Flash and Gemini 2.5 FlashDeepSeek R1 0528: Text · Gemini 2.0 Flash: Text, Images, PDFs, Audio, Video · Gemini 2.5 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingDeepSeek R1 0528Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek R1 0528 | Gemini 2.0 Flash | Gemini 2.5 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 66 | 58 | 65 |
| Price | 25% | 49 | 82 | 51 |
| Inputs & features | 15% | 35 | 80 | 100 |
| Context window | 10% | 28 | 61 | 61 |
| Overall | 100% | 53/100 | 67/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek R1 0528DeepSeek | Gemini 2.0 FlashGoogle | Gemini 2.5 FlashGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 141.2 (best) | 134.7 | 140.6 |
| ECI rank | #108 of 165 (best) | #130 of 165 | #110 of 165 |
| GPQA DiamondGraduate-level science questions | 76.3% (best) | 64.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.4% (best) | 31.1% | — |
| Price per million tokens | |||
| Input | $0.512 | $0.10 (best) | $0.30 |
| Output | $2.19 | $0.42 (best) | $2.50 |
| Cached input | — | — | $0.03 |
| Blended (3:1) | $0.932 | $0.18 (best) | $0.85 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Median of 1 providers | Official Google API |
| Limits | |||
| Context window | 163,840 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 8,192 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | Yes | Yes |
| Video | No | Yes | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenMIT | Proprietary | Proprietary |
| API model ID | — | — | gemini-2.5-flash |
| API providers | 16 | 2 | 32 (best) |
| Released | May 28, 2025 | Dec 11, 2024 | Jun 17, 2025 |
| Knowledge cutoff | — | Jun 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek R1 0528$9.50
- Gemini 2.0 Flash$1.84
- Gemini 2.5 Flash$8.00
Which should you choose?
Which is better: DeepSeek R1 0528, Gemini 2.0 Flash or Gemini 2.5 Flash?
It is close. Our weighted score puts them within a point (Gemini 2.0 Flash 67/100, Gemini 2.5 Flash 66/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: DeepSeek R1 0528 for raw capability and Gemini 2.0 Flash on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek R1 0528, Gemini 2.0 Flash or Gemini 2.5 Flash?
Gemini 2.0 Flash is cheaper at $0.10 input / $0.42 output per million tokens (median across 1 API provider). Gemini 2.5 Flash costs $0.30 input / $2.50 output per million tokens (official Google API price); DeepSeek R1 0528 costs $0.512 input / $2.19 output per million tokens (median across 16 API providers). At a typical mix of three input tokens to one output token, that is $0.18 per million tokens for Gemini 2.0 Flash versus $0.85 for Gemini 2.5 Flash (4.7× as much) and $0.932 for DeepSeek R1 0528 (5.2× as much).
Which scores higher on benchmarks?
DeepSeek R1 0528 scores higher on the Capabilities Index (ECI): DeepSeek R1 0528 141.2 (#108 of 165), Gemini 2.5 Flash 140.6 (#110 of 165) and Gemini 2.0 Flash 134.7 (#130 of 165). The confidence ranges of the top two overlap (139.0–142.9 vs 138.4–142.1), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek R1 0528, Gemini 2.0 Flash and Gemini 2.5 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek R1 0528 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.0 Flash and Gemini 2.5 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 163,840 for DeepSeek R1 0528. Maximum output per response: DeepSeek R1 0528 up to 32,768, Gemini 2.0 Flash up to 8,192, Gemini 2.5 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
DeepSeek R1 0528 accepts text; Gemini 2.0 Flash accepts text, images, PDFs, audio and video; Gemini 2.5 Flash accepts text, images, PDFs, audio and video. Gemini 2.0 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek R1 0528 publishes its weights (MIT) and can be self-hosted; Gemini 2.0 Flash and Gemini 2.5 Flash is proprietary.
Which is newer?
Gemini 2.5 Flash is the newest, released Jun 17, 2025. DeepSeek R1 0528 came out May 28, 2025; Gemini 2.0 Flash came out Dec 11, 2024. Knowledge cutoff: Gemini 2.0 Flash Jun 2024, Gemini 2.5 Flash Jan 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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