Qwen3 30B-A3B Instruct 2507 vs Gemini 2.5 Flash-Lite Preview 06-17
Gemini 2.5 Flash-Lite Preview 06-17 comes out ahead, 67 to 59 on our weighted score, though Qwen3 30B-A3B Instruct 2507 is 29% cheaper per token.
Alibaba (Qwen)Qwen3 30B-A3B Instruct 2507
59/100- ECI137.3
- Price$0.10 / $0.30
- Context262K
- Our pick
GoogleGemini 2.5 Flash-Lite Preview 06-17
67/100- ECI133.8
- Price$0.12 / $0.48
- Context1.05M
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Gemini 2.5 Flash-Lite Preview 06-17 is our pick
Gemini 2.5 Flash-Lite Preview 06-17 is the better all-round choice, scoring 67/100 against Qwen3 30B-A3B Instruct 2507 (59). It leads on inputs & features and context window. Qwen3 30B-A3B Instruct 2507 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 30B-A3B Instruct 2507Capabilities Index (ECI): Qwen3 30B-A3B Instruct 2507 137.3 · Gemini 2.5 Flash-Lite Preview 06-17 133.8
- Lowest priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · Gemini 2.5 Flash-Lite Preview 06-17 $0.21 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-Lite Preview 06-17Gemini 2.5 Flash-Lite Preview 06-17 1,048,576 · Qwen3 30B-A3B Instruct 2507 262,144 tokens
- Widest inputsGemini 2.5 Flash-Lite Preview 06-17Qwen3 30B-A3B Instruct 2507: Text · Gemini 2.5 Flash-Lite Preview 06-17: Text, Images, PDFs, Audio, Video
- Self-hostingQwen3 30B-A3B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Qwen3 30B-A3B Instruct 2507 | Gemini 2.5 Flash-Lite Preview 06-17 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 61 | 57 |
| Price | 25% | 85 | 79 |
| Inputs & features | 15% | 25 | 90 |
| Context window | 10% | 37 | 61 |
| Overall | 100% | 59/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3 30B-A3B Instruct 2507Alibaba (Qwen) | Gemini 2.5 Flash-Lite Preview 06-17Google |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 137.3 (best) | 133.8 |
| ECI rank | #124 of 165 (best) | #132 of 165 |
| GPQA DiamondGraduate-level science questions | 55.6% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 62.2% | — |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.12 |
| Output | $0.30 (best) | $0.48 |
| Cached input | — | — |
| Blended (3:1) | $0.15 (best) | $0.21 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 12 providers | Median of 2 providers |
| Limits | ||
| Context window | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | Proprietary |
| API model ID | — | — |
| API providers | 14 (best) | 2 |
| Released | Jul 28, 2025 | Jun 17, 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.
- Qwen3 30B-A3B Instruct 2507$1.60
- Gemini 2.5 Flash-Lite Preview 06-17$2.16
Which should you choose?
Which is better: Qwen3 30B-A3B Instruct 2507 or Gemini 2.5 Flash-Lite Preview 06-17?
Gemini 2.5 Flash-Lite Preview 06-17 is the better all-round choice, scoring 67/100 against Qwen3 30B-A3B Instruct 2507 (59). It leads on inputs & features and context window. Qwen3 30B-A3B Instruct 2507 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 30B-A3B Instruct 2507 or Gemini 2.5 Flash-Lite Preview 06-17?
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-Lite Preview 06-17 costs $0.12 input / $0.48 output per million tokens (median across 2 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 $0.21 for Gemini 2.5 Flash-Lite Preview 06-17 (1.4× as much).
Which scores higher on benchmarks?
Qwen3 30B-A3B Instruct 2507 scores higher on the Capabilities Index (ECI): Qwen3 30B-A3B Instruct 2507 137.3 (#124 of 165) and Gemini 2.5 Flash-Lite Preview 06-17 133.8 (#132 of 165). The confidence ranges of the top two overlap (131.7–139.4 vs 130.1–136.1), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 30B-A3B Instruct 2507 and Gemini 2.5 Flash-Lite Preview 06-17 yet, so there is no like-for-like coding score. On overall capability, Qwen3 30B-A3B Instruct 2507 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Flash-Lite Preview 06-17 has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 30B-A3B Instruct 2507. Maximum output per response: Qwen3 30B-A3B Instruct 2507 up to 16,384, Gemini 2.5 Flash-Lite Preview 06-17 up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Qwen3 30B-A3B Instruct 2507 accepts text; Gemini 2.5 Flash-Lite Preview 06-17 accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite Preview 06-17 handles the widest range of inputs.
Are any of these open source?
Qwen3 30B-A3B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite Preview 06-17 is proprietary.
Which is newer?
Qwen3 30B-A3B Instruct 2507 is the newest, released Jul 28, 2025. Gemini 2.5 Flash-Lite Preview 06-17 came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Preview 06-17 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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