DeepSeek-R1-Distill-Qwen-32B vs Gemini 2.5 Flash-Lite Preview 06-17 vs Qwen3 30B A3B
Gemini 2.5 Flash-Lite Preview 06-17 comes out ahead, 78 to 31 and 16 on our weighted score.
DeepSeek
DeepSeek-R1-Distill-Qwen-32B
16/100- ECI—
- Price—
- Context131K
- Our pick
Google
Gemini 2.5 Flash-Lite Preview 06-17
78/100- ECI133.8
- Price$0.12 / $0.48
- Context1.05M
Alibaba (Qwen)
Qwen3 30B A3B
31/100- ECI136.2
- Price$0.108 / $0.475
- Context131K
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 78/100 against Qwen3 30B A3B (31) and DeepSeek-R1-Distill-Qwen-32B (16). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen3 30B A3BQwen3 30B A3B $0.20 · Gemini 2.5 Flash-Lite Preview 06-17 $0.21 per 1M tokens (3:1 blend) · DeepSeek-R1-Distill-Qwen-32B unpriced
- Longest contextGemini 2.5 Flash-Lite Preview 06-17Gemini 2.5 Flash-Lite Preview 06-17 1,048,576 · DeepSeek-R1-Distill-Qwen-32B 131,072 · Qwen3 30B A3B 131,072 tokens
- Widest inputsGemini 2.5 Flash-Lite Preview 06-17DeepSeek-R1-Distill-Qwen-32B: Text · Gemini 2.5 Flash-Lite Preview 06-17: Text, Images, PDFs, Audio, Video · Qwen3 30B A3B: Text
- Self-hostingDeepSeek-R1-Distill-Qwen-32B and Qwen3 30B A3BPublishes downloadable weights
| Measure | Weight | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.5 Flash-Lite Preview 06-17 | Qwen3 30B A3B |
|---|---|---|---|---|
| Inputs & features | 60% | 10 | 90 | 35 |
| Context window | 40% | 25 | 61 | 25 |
| Overall | 100% | 16/100 | 78/100 | 31/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 133.8 | 136.2 (best) |
| ECI rank | — | #132 of 165 | #126 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 64.1% (best) | — | 61.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 55.6% | — | 62.8% (best) |
| Price per million tokens | |||
| Input | — | $0.12 | $0.108 (best) |
| Output | — | $0.48 | $0.475 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.21 | $0.20 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 2 providers | Median of 14 providers |
| Limits | |||
| Context window | 131,072 tokens | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 32,768 tokens | 65,536 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | — | — |
| API providers | — | 2 | 14 (best) |
| Released | Jan 20, 2025 | Jun 17, 2025 | Apr 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.
DeepSeek-R1-Distill-Qwen-32B—
Gemini 2.5 Flash-Lite Preview 06-17$2.16
Qwen3 30B A3B$2.03
Which should you choose?
Which is better: DeepSeek-R1-Distill-Qwen-32B, Gemini 2.5 Flash-Lite Preview 06-17 or Qwen3 30B A3B?
Gemini 2.5 Flash-Lite Preview 06-17 is the better all-round choice, scoring 78/100 against Qwen3 30B A3B (31) and DeepSeek-R1-Distill-Qwen-32B (16). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, DeepSeek-R1-Distill-Qwen-32B, Gemini 2.5 Flash-Lite Preview 06-17 or Qwen3 30B A3B?
Qwen3 30B A3B is cheaper at $0.108 input / $0.475 output per million tokens (median across 14 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 $0.20 per million tokens for Qwen3 30B A3B versus $0.21 for Gemini 2.5 Flash-Lite Preview 06-17 (1× as much). DeepSeek-R1-Distill-Qwen-32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek-R1-Distill-Qwen-32B has not been scored yet, Gemini 2.5 Flash-Lite Preview 06-17 has an ECI of 133.8 and Qwen3 30B A3B has an ECI of 136.2.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-R1-Distill-Qwen-32B, Gemini 2.5 Flash-Lite Preview 06-17 and Qwen3 30B A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek-R1-Distill-Qwen-32B does not support tool calling, which most coding agents need.
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 131,072 for DeepSeek-R1-Distill-Qwen-32B and 131,072 for Qwen3 30B A3B. Maximum output per response: DeepSeek-R1-Distill-Qwen-32B up to 32,768, Gemini 2.5 Flash-Lite Preview 06-17 up to 65,536, Qwen3 30B A3B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-R1-Distill-Qwen-32B accepts text; Gemini 2.5 Flash-Lite Preview 06-17 accepts text, images, PDFs, audio and video; Qwen3 30B A3B accepts text. Gemini 2.5 Flash-Lite Preview 06-17 handles the widest range of inputs.
Are any of these open source?
DeepSeek-R1-Distill-Qwen-32B and Qwen3 30B A3B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite Preview 06-17 is proprietary.
Which is newer?
Gemini 2.5 Flash-Lite Preview 06-17 is the newest, released Jun 17, 2025. Qwen3 30B A3B came out Apr 28, 2025; DeepSeek-R1-Distill-Qwen-32B came out Jan 20, 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.