Qwen2.5 7B Instruct vs Gemma 3n E2B IT
Qwen2.5 7B Instruct comes out ahead, 25 to 21 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen2.5 7B Instruct
25/100- ECI118.5
- Price$0.05 / $0.10
- Context131K
GoogleGemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
Add a model
Make it a three-way comparison.
Qwen2.5 7B Instruct is our pick
Qwen2.5 7B Instruct is the better all-round choice, scoring 25/100 against Gemma 3n E2B IT (21). It leads on context window. Gemma 3n E2B IT wins on inputs & features. 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 priceQwen2.5 7B InstructQwen2.5 7B Instruct $0.063 per 1M tokens (3:1 blend) · Gemma 3n E2B IT unpriced
- Longest contextQwen2.5 7B InstructQwen2.5 7B Instruct 131,072 · Gemma 3n E2B IT 32,768 tokens
- Widest inputsGemma 3n E2B ITQwen2.5 7B Instruct: Text · Gemma 3n E2B IT: Text, Images, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen2.5 7B Instruct | Gemma 3n E2B IT |
|---|---|---|---|
| Inputs & features | 60% | 25 | 35 |
| Context window | 40% | 25 | 0 |
| Overall | 100% | 25/100 | 21/100 |
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 | Qwen2.5 7B InstructAlibaba (Qwen) | Gemma 3n E2B ITGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 118.5 | — |
| ECI rank | #159 of 165 | — |
| GPQA DiamondGraduate-level science questions | 35.5% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 2.5% | — |
| Price per million tokens | ||
| Input | $0.05 | — |
| Output | $0.10 | — |
| Cached input | — | — |
| Blended (3:1) | $0.063 | — |
| Long-context rate | Same rate | — |
| Price source | Median of 3 providers | — |
| Limits | ||
| Context window | 131,072 tokens (best) | 32,768 tokens |
| Max output | 8,192 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | OpenGemma Terms of Use |
| API model ID | — | — |
| API providers | 4 | — |
| Released | Sep 19, 2024 | Jun 26, 2025 |
| Knowledge cutoff | — | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen2.5 7B Instruct$0.70
- Gemma 3n E2B IT—
Which should you choose?
Which is better: Qwen2.5 7B Instruct or Gemma 3n E2B IT?
Qwen2.5 7B Instruct is the better all-round choice, scoring 25/100 against Gemma 3n E2B IT (21). It leads on context window. Gemma 3n E2B IT wins on inputs & features. 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, Qwen2.5 7B Instruct or Gemma 3n E2B IT?
Qwen2.5 7B Instruct is cheaper at $0.05 input / $0.10 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.063 per million tokens for Qwen2.5 7B Instruct versus . Gemma 3n E2B IT has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen2.5 7B Instruct has an ECI of 118.5 and Gemma 3n E2B IT has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen2.5 7B Instruct and Gemma 3n E2B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E2B IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen2.5 7B Instruct has the largest context window at 131,072 tokens, against 32,768 for Gemma 3n E2B IT. Maximum output per response: Qwen2.5 7B Instruct up to 8,192, Gemma 3n E2B IT up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen2.5 7B Instruct accepts text; Gemma 3n E2B IT accepts text, images and audio. Gemma 3n E2B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache 2.0 and Gemma Terms of Use), so you can self-host them.
Which is newer?
Gemma 3n E2B IT is the newest, released Jun 26, 2025. Qwen2.5 7B Instruct came out Sep 19, 2024. Knowledge cutoff: Gemma 3n E2B IT Jun 2024.
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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