Gemini 2.5 Flash vs Qwen3.6 Plus vs DeepSeek R1 0528
Too close to call on our weighted score (Gemini 2.5 Flash 66, Qwen3.6 Plus 66, DeepSeek R1 0528 53). The right pick depends on what you value most.
GoogleGemini 2.5 Flash
66/100- ECI140.6
- Price$0.30 / $2.50
- Context1.05M
Alibaba (Qwen)Qwen3.6 Plus
66/100- ECI147.8
- Price$0.50 / $3.00
- Context1M
DeepSeekDeepSeek R1 0528
53/100- ECI141.2
- Price$0.512 / $2.19
- Context164K
Too close to call
It is close. Our weighted score puts them within a point (Gemini 2.5 Flash 66/100, Qwen3.6 Plus 66/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: Qwen3.6 Plus for raw capability, Gemini 2.5 Flash on price and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.6 PlusCapabilities Index (ECI): Qwen3.6 Plus 147.8 · DeepSeek R1 0528 141.2 · Gemini 2.5 Flash 140.6
- Lowest priceGemini 2.5 FlashGemini 2.5 Flash $0.85 · DeepSeek R1 0528 $0.932 · Qwen3.6 Plus $1.13 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · Qwen3.6 Plus 1,000,000 · DeepSeek R1 0528 163,840 tokens
- Widest inputsGemini 2.5 FlashGemini 2.5 Flash: Text, Images, PDFs, Audio, Video · Qwen3.6 Plus: Text, Images, Video · DeepSeek R1 0528: Text
- Self-hostingDeepSeek R1 0528Publishes downloadable weights (MIT)
| Measure | Weight | Gemini 2.5 Flash | Qwen3.6 Plus | DeepSeek R1 0528 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 65 | 74 | 66 |
| Price | 25% | 51 | 45 | 49 |
| Inputs & features | 15% | 100 | 80 | 35 |
| Context window | 10% | 61 | 60 | 28 |
| Overall | 100% | 66/100 | 66/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 FlashGoogle | Qwen3.6 PlusAlibaba (Qwen) | DeepSeek R1 0528DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 140.6 | 147.8 (best) | 141.2 |
| ECI rank | #110 of 165 | #69 of 165 (best) | #108 of 165 |
| GPQA DiamondGraduate-level science questions | — | 88.4% (best) | 76.3% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 38.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 93.3% (best) | 66.4% |
| SWE-bench VerifiedFixing real GitHub issues | — | 57.9% | — |
| SimpleQA VerifiedShort factual questions | — | 44.1% | — |
| Price per million tokens | |||
| Input | $0.30 (best) | $0.50 | $0.512 |
| Output | $2.50 | $3.00 | $2.19 (best) |
| Cached input | $0.03 (best) | $0.05 | — |
| Blended (3:1) | $0.85 (best) | $1.13 | $0.932 |
| Long-context rate | Same rate | Over 256K: $2.00 / $6.00 | Same rate |
| Price source | Official Google API | Official Alibaba API | Median of 16 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens | 163,840 tokens |
| Max output | 65,536 tokens (best) | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | OpenMIT |
| API model ID | gemini-2.5-flash | qwen3.6-plus | — |
| API providers | 32 (best) | 22 | 16 |
| Released | Jun 17, 2025 | Apr 2, 2026 | May 28, 2025 |
| Knowledge cutoff | Jan 2025 | Apr 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 2.5 Flash$8.00
- Qwen3.6 Plus$11.00
- DeepSeek R1 0528$9.50
Which should you choose?
Which is better: Gemini 2.5 Flash, Qwen3.6 Plus or DeepSeek R1 0528?
It is close. Our weighted score puts them within a point (Gemini 2.5 Flash 66/100, Qwen3.6 Plus 66/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: Qwen3.6 Plus for raw capability, Gemini 2.5 Flash on price and Gemini 2.5 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 2.5 Flash, Qwen3.6 Plus or DeepSeek R1 0528?
Gemini 2.5 Flash is cheaper at $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); Qwen3.6 Plus costs $0.50 input / $3.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.85 per million tokens for Gemini 2.5 Flash versus $0.932 for DeepSeek R1 0528 (1.1× as much) and $1.13 for Qwen3.6 Plus (1.3× as much).
Which scores higher on benchmarks?
Qwen3.6 Plus scores higher on the Capabilities Index (ECI): Qwen3.6 Plus 147.8 (#69 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 (145.8–149.6 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 Gemini 2.5 Flash and DeepSeek R1 0528 yet, so there is no like-for-like coding score. On overall capability, Qwen3.6 Plus 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 1,000,000 for Qwen3.6 Plus and 163,840 for DeepSeek R1 0528. Maximum output per response: Gemini 2.5 Flash up to 65,536, Qwen3.6 Plus up to 65,536, DeepSeek R1 0528 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash accepts text, images, PDFs, audio and video; Qwen3.6 Plus accepts text, images and video; DeepSeek R1 0528 accepts text. 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; Gemini 2.5 Flash and Qwen3.6 Plus is proprietary.
Which is newer?
Qwen3.6 Plus is the newest, released Apr 2, 2026. Gemini 2.5 Flash came out Jun 17, 2025; DeepSeek R1 0528 came out May 28, 2025. Knowledge cutoff: Gemini 2.5 Flash Jan 2025, Qwen3.6 Plus Apr 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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