Gemma 3n E4B IT vs o3-deep-research vs Qwen Flash
Too close to call on our weighted score (Qwen Flash 51, o3-deep-research 49, Gemma 3n E4B IT 21). The right pick depends on what you value most.
GoogleGemma 3n E4B IT
21/100- ECI—
- Price—
- Context33K
OpenAIo3-deep-research
49/100- ECI—
- Price$9.00 / $36.00
- Context200K
Alibaba (Qwen)Qwen Flash
51/100- ECI—
- Price$0.05 / $0.40
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen Flash 51/100, o3-deep-research 49/100, Gemma 3n E4B IT 21/100), so choose by what matters most for your work: Qwen Flash on price and Qwen Flash for long inputs. 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 priceQwen FlashQwen Flash $0.138 · o3-deep-research $15.75 per 1M tokens (3:1 blend) · Gemma 3n E4B IT unpriced
- Longest contextQwen FlashQwen Flash 1,000,000 · o3-deep-research 200,000 · Gemma 3n E4B IT 32,768 tokens
- Widest inputsGemma 3n E4B ITGemma 3n E4B IT: Text, Images, Audio · o3-deep-research: Text, Images · Qwen Flash: Text
- Self-hostingGemma 3n E4B ITPublishes downloadable weights (Gemma Terms of Use)
| Measure | Weight | Gemma 3n E4B IT | o3-deep-research | Qwen Flash |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 60 | 45 |
| Context window | 40% | 0 | 32 | 60 |
| Overall | 100% | 21/100 | 49/100 | 51/100 |
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 | Gemma 3n E4B ITGoogle | o3-deep-researchOpenAI | Qwen FlashAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $9.00 | $0.05 (best) |
| Output | — | $36.00 | $0.40 (best) |
| Cached input | — | — | $0.01 |
| Blended (3:1) | — | $15.75 | $0.138 (best) |
| Long-context rate | — | Same rate | Over 256K: $0.25 / $2.00 |
| Price source | — | Median of 1 providers | Official Alibaba API |
| Limits | |||
| Context window | 32,768 tokens | 200,000 tokens | 1,000,000 tokens (best) |
| Max output | 32,768 tokens | 100,000 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenGemma Terms of Use | Proprietary | Proprietary |
| API model ID | — | — | qwen-flash |
| API providers | — | 1 | 6 (best) |
| Released | Jun 26, 2025 | Jun 26, 2025 | Jul 28, 2025 |
| Knowledge cutoff | Jun 2024 | May 2024 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemma 3n E4B IT—
- o3-deep-research$162.00
- Qwen Flash$1.30
Which should you choose?
Which is better: Gemma 3n E4B IT, o3-deep-research or Qwen Flash?
It is close. Our weighted score puts them within 2 points (Qwen Flash 51/100, o3-deep-research 49/100, Gemma 3n E4B IT 21/100), so choose by what matters most for your work: Qwen Flash on price and Qwen Flash for long inputs. 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, Gemma 3n E4B IT, o3-deep-research or Qwen Flash?
Qwen Flash is cheaper at $0.05 input / $0.40 output per million tokens (official Alibaba API price). o3-deep-research costs $9.00 input / $36.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.138 per million tokens for Qwen Flash versus $15.75 for o3-deep-research (115× as much). Gemma 3n E4B IT has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 3n E4B IT has not been scored yet, o3-deep-research has not been scored yet and Qwen Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E4B IT, o3-deep-research and Qwen Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E4B IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen Flash has the largest context window at 1,000,000 tokens, against 200,000 for o3-deep-research and 32,768 for Gemma 3n E4B IT. Maximum output per response: Gemma 3n E4B IT up to 32,768, o3-deep-research up to 100,000, Qwen Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E4B IT accepts text, images and audio; o3-deep-research accepts text and images; Qwen Flash accepts text. Gemma 3n E4B IT handles the widest range of inputs.
Are any of these open source?
Gemma 3n E4B IT publishes its weights (Gemma Terms of Use) and can be self-hosted; o3-deep-research and Qwen Flash is proprietary.
Which is newer?
Qwen Flash is the newest, released Jul 28, 2025. Gemma 3n E4B IT came out Jun 26, 2025; o3-deep-research came out Jun 26, 2025. Knowledge cutoff: Gemma 3n E4B IT Jun 2024, o3-deep-research May 2024, Qwen Flash Apr 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.
