DeepSeek-R1-Distill-Qwen-32B vs Gemini 2.5 Flash-Lite Preview 06-17
Gemini 2.5 Flash-Lite Preview 06-17 comes out ahead, 78 to 16 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek-R1-Distill-Qwen-32B
16/100- ECI—
- Price—
- Context131K
- Our pick
GoogleGemini 2.5 Flash-Lite Preview 06-17
78/100- ECI133.8
- Price$0.12 / $0.48
- Context1.05M
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Make it a three-way comparison.
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 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 priceGemini 2.5 Flash-Lite Preview 06-17Gemini 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 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
- Self-hostingDeepSeek-R1-Distill-Qwen-32BPublishes downloadable weights
| Measure | Weight | DeepSeek-R1-Distill-Qwen-32B | Gemini 2.5 Flash-Lite Preview 06-17 |
|---|---|---|---|
| Inputs & features | 60% | 10 | 90 |
| Context window | 40% | 25 | 61 |
| Overall | 100% | 16/100 | 78/100 |
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 | DeepSeek-R1-Distill-Qwen-32BDeepSeek | Gemini 2.5 Flash-Lite Preview 06-17Google |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 133.8 |
| ECI rank | — | #132 of 165 |
| GPQA DiamondGraduate-level science questions | 64.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 55.6% | — |
| Price per million tokens | ||
| Input | — | $0.12 |
| Output | — | $0.48 |
| Cached input | — | — |
| Blended (3:1) | — | $0.21 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 2 providers |
| Limits | ||
| Context window | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | — | 2 |
| Released | Jan 20, 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.
- DeepSeek-R1-Distill-Qwen-32B—
- Gemini 2.5 Flash-Lite Preview 06-17$2.16
Which should you choose?
Which is better: DeepSeek-R1-Distill-Qwen-32B or Gemini 2.5 Flash-Lite Preview 06-17?
Gemini 2.5 Flash-Lite Preview 06-17 is the better all-round choice, scoring 78/100 against 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 or Gemini 2.5 Flash-Lite Preview 06-17?
Gemini 2.5 Flash-Lite Preview 06-17 is cheaper at $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 $0.21 per million tokens for Gemini 2.5 Flash-Lite Preview 06-17 versus . DeepSeek-R1-Distill-Qwen-32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. DeepSeek-R1-Distill-Qwen-32B has not been scored yet and Gemini 2.5 Flash-Lite Preview 06-17 has an ECI of 133.8.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek-R1-Distill-Qwen-32B and Gemini 2.5 Flash-Lite Preview 06-17 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. 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 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. 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 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. 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.
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