Gemini 2.5 Flash vs Qwen3 30B-A3B Instruct 2507 vs DeepSeek R1 0528
Gemini 2.5 Flash comes out ahead, 66 to 59 and 53 on our weighted score, though Qwen3 30B-A3B Instruct 2507 is 5.7× cheaper per token.
- Our pick
GoogleGemini 2.5 Flash
66/100- ECI140.6
- Price$0.30 / $2.50
- Context1.05M
Alibaba (Qwen)Qwen3 30B-A3B Instruct 2507
59/100- ECI137.3
- Price$0.10 / $0.30
- Context262K
DeepSeekDeepSeek R1 0528
53/100- ECI141.2
- Price$0.512 / $2.19
- Context164K
Gemini 2.5 Flash is our pick
Gemini 2.5 Flash is the better all-round choice, scoring 66/100 against Qwen3 30B-A3B Instruct 2507 (59) and DeepSeek R1 0528 (53). It leads on inputs & features and context window. Qwen3 30B-A3B Instruct 2507 wins 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 · Qwen3 30B-A3B Instruct 2507 137.3
- Lowest priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · 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 · Qwen3 30B-A3B Instruct 2507 262,144 · DeepSeek R1 0528 163,840 tokens
- Widest inputsGemini 2.5 FlashGemini 2.5 Flash: Text, Images, PDFs, Audio, Video · Qwen3 30B-A3B Instruct 2507: Text · DeepSeek R1 0528: Text
- Self-hostingQwen3 30B-A3B Instruct 2507 and DeepSeek R1 0528Publishes downloadable weights (Apache 2.0 and MIT)
| Measure | Weight | Gemini 2.5 Flash | Qwen3 30B-A3B Instruct 2507 | DeepSeek R1 0528 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 65 | 61 | 66 |
| Price | 25% | 51 | 85 | 49 |
| Inputs & features | 15% | 100 | 25 | 35 |
| Context window | 10% | 61 | 37 | 28 |
| Overall | 100% | 66/100 | 59/100 | 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 30B-A3B Instruct 2507Alibaba (Qwen) | DeepSeek R1 0528DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 140.6 | 137.3 | 141.2 (best) |
| ECI rank | #110 of 165 | #124 of 165 | #108 of 165 (best) |
| GPQA DiamondGraduate-level science questions | — | 55.6% | 76.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 62.2% | 66.4% (best) |
| Price per million tokens | |||
| Input | $0.30 | $0.10 (best) | $0.512 |
| Output | $2.50 | $0.30 (best) | $2.19 |
| Cached input | $0.03 | — | — |
| Blended (3:1) | $0.85 | $0.15 (best) | $0.932 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Median of 12 providers | Median of 16 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 163,840 tokens |
| Max output | 65,536 tokens (best) | 16,384 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | OpenMIT |
| API model ID | gemini-2.5-flash | — | — |
| API providers | 32 (best) | 14 | 16 |
| Released | Jun 17, 2025 | Jul 28, 2025 | May 28, 2025 |
| Knowledge cutoff | 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.
- Gemini 2.5 Flash$8.00
- Qwen3 30B-A3B Instruct 2507$1.60
- DeepSeek R1 0528$9.50
Which should you choose?
Which is better: Gemini 2.5 Flash, Qwen3 30B-A3B Instruct 2507 or DeepSeek R1 0528?
Gemini 2.5 Flash is the better all-round choice, scoring 66/100 against Qwen3 30B-A3B Instruct 2507 (59) and DeepSeek R1 0528 (53). It leads on inputs & features and context window. Qwen3 30B-A3B Instruct 2507 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 2.5 Flash, Qwen3 30B-A3B Instruct 2507 or DeepSeek R1 0528?
Qwen3 30B-A3B Instruct 2507 is cheaper at $0.10 input / $0.30 output per million tokens (median across 12 API providers). 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 $0.15 per million tokens for Qwen3 30B-A3B Instruct 2507 versus $0.85 for Gemini 2.5 Flash (5.7× as much) and $0.932 for DeepSeek R1 0528 (6.2× 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 Qwen3 30B-A3B Instruct 2507 137.3 (#124 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 Gemini 2.5 Flash, Qwen3 30B-A3B Instruct 2507 and DeepSeek R1 0528 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 2.5 Flash has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 30B-A3B Instruct 2507 and 163,840 for DeepSeek R1 0528. Maximum output per response: Gemini 2.5 Flash up to 65,536, Qwen3 30B-A3B Instruct 2507 up to 16,384, 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 30B-A3B Instruct 2507 accepts text; DeepSeek R1 0528 accepts text. Gemini 2.5 Flash handles the widest range of inputs.
Are any of these open source?
Qwen3 30B-A3B Instruct 2507 and DeepSeek R1 0528 publishes its weights (Apache 2.0 and MIT) and can be self-hosted; Gemini 2.5 Flash is proprietary.
Which is newer?
Qwen3 30B-A3B Instruct 2507 is the newest, released Jul 28, 2025. 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.
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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