DeepSeek R1 0528 vs GPT-5 Mini vs Gemini 2.5 Flash
Too close to call on our weighted score (Gemini 2.5 Flash 66, GPT-5 Mini 64, 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
OpenAIGPT-5 Mini
64/100- ECI145.4
- Price$0.25 / $2.00
- Context400K
GoogleGemini 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 2 points (Gemini 2.5 Flash 66/100, GPT-5 Mini 64/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: GPT-5 Mini for raw capability and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5 MiniCapabilities Index (ECI): GPT-5 Mini 145.4 · DeepSeek R1 0528 141.2 · Gemini 2.5 Flash 140.6
- Lowest priceGPT-5 MiniGPT-5 Mini $0.688 · Gemini 2.5 Flash $0.85 · DeepSeek R1 0528 $0.932 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · GPT-5 Mini 400,000 · DeepSeek R1 0528 163,840 tokens
- Widest inputsGemini 2.5 FlashDeepSeek R1 0528: Text · GPT-5 Mini: Text, Images · Gemini 2.5 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingDeepSeek R1 0528Publishes downloadable weights (MIT)
| Measure | Weight | DeepSeek R1 0528 | GPT-5 Mini | Gemini 2.5 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 66 | 71 | 65 |
| Price | 25% | 49 | 55 | 51 |
| Inputs & features | 15% | 35 | 70 | 100 |
| Context window | 10% | 28 | 44 | 61 |
| Overall | 100% | 53/100 | 64/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek R1 0528DeepSeek | GPT-5 MiniOpenAI | Gemini 2.5 FlashGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 141.2 | 145.4 (best) | 140.6 |
| ECI rank | #108 of 165 | #87 of 165 (best) | #110 of 165 |
| GPQA DiamondGraduate-level science questions | 76.3% (best) | 75.0% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 46.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.4% | 86.7% (best) | — |
| SWE-bench VerifiedFixing real GitHub issues | — | 64.7% | — |
| SimpleQA VerifiedShort factual questions | — | 21.6% | — |
| Price per million tokens | |||
| Input | $0.512 | $0.25 (best) | $0.30 |
| Output | $2.19 | $2.00 (best) | $2.50 |
| Cached input | — | $0.025 (best) | $0.03 |
| Blended (3:1) | $0.932 | $0.688 (best) | $0.85 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Official OpenAI API | Official Google API |
| Limits | |||
| Context window | 163,840 tokens | 400,000 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 128,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yesminimal · low · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenMIT | Proprietary | Proprietary |
| API model ID | — | gpt-5-mini | gemini-2.5-flash |
| API providers | 16 | 35 (best) | 32 |
| Released | May 28, 2025 | Aug 7, 2025 | Jun 17, 2025 |
| Knowledge cutoff | — | May 30, 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
- GPT-5 Mini$6.50
- Gemini 2.5 Flash$8.00
Which should you choose?
Which is better: DeepSeek R1 0528, GPT-5 Mini or Gemini 2.5 Flash?
It is close. Our weighted score puts them within 2 points (Gemini 2.5 Flash 66/100, GPT-5 Mini 64/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: GPT-5 Mini for raw capability and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek R1 0528, GPT-5 Mini or Gemini 2.5 Flash?
GPT-5 Mini is cheaper at $0.25 input / $2.00 output per million tokens (official OpenAI API price). 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 $0.688 per million tokens for GPT-5 Mini versus $0.85 for Gemini 2.5 Flash (1.2× as much) and $0.932 for DeepSeek R1 0528 (1.4× as much).
Which scores higher on benchmarks?
GPT-5 Mini scores higher on the Capabilities Index (ECI): GPT-5 Mini 145.4 (#87 of 165), DeepSeek R1 0528 141.2 (#108 of 165) and Gemini 2.5 Flash 140.6 (#110 of 165). Their confidence ranges do not overlap (143.5–147.1 vs 139.0–142.9), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek R1 0528 and Gemini 2.5 Flash yet, so there is no like-for-like coding score. On overall capability, GPT-5 Mini 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 2.5 Flash has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5 Mini and 163,840 for DeepSeek R1 0528. Maximum output per response: DeepSeek R1 0528 up to 32,768, GPT-5 Mini up to 128,000, Gemini 2.5 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
DeepSeek R1 0528 accepts text; GPT-5 Mini accepts text and images; Gemini 2.5 Flash accepts text, images, PDFs, audio and video. Gemini 2.5 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; GPT-5 Mini and Gemini 2.5 Flash is proprietary.
Which is newer?
GPT-5 Mini is the newest, released Aug 7, 2025. Gemini 2.5 Flash came out Jun 17, 2025; DeepSeek R1 0528 came out May 28, 2025. Knowledge cutoff: GPT-5 Mini May 30, 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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