Gemma 3n E2B IT vs ERNIE 4.5 21B A3B vs o3-deep-research
o3-deep-research comes out ahead, 49 to 25 and 21 on our weighted score, though ERNIE 4.5 21B A3B is 129× cheaper per token.
GoogleGemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
BaiduERNIE 4.5 21B A3B
25/100- ECI—
- Price$0.07 / $0.28
- Context131K
- Our pick
OpenAIo3-deep-research
49/100- ECI—
- Price$9.00 / $36.00
- Context200K
o3-deep-research is our pick
o3-deep-research is the better all-round choice, scoring 49/100 against ERNIE 4.5 21B A3B (25) and Gemma 3n E2B IT (21). 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 priceERNIE 4.5 21B A3BERNIE 4.5 21B A3B $0.122 · o3-deep-research $15.75 per 1M tokens (3:1 blend) · Gemma 3n E2B IT unpriced
- Longest contexto3-deep-researcho3-deep-research 200,000 · ERNIE 4.5 21B A3B 131,072 · Gemma 3n E2B IT 32,768 tokens
- Widest inputsGemma 3n E2B ITGemma 3n E2B IT: Text, Images, Audio · ERNIE 4.5 21B A3B: Text · o3-deep-research: Text, Images
- Self-hostingGemma 3n E2B IT and ERNIE 4.5 21B A3BPublishes downloadable weights (Gemma Terms of Use and Apache-2.0)
| Measure | Weight | Gemma 3n E2B IT | ERNIE 4.5 21B A3B | o3-deep-research |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 60 |
| Context window | 40% | 0 | 25 | 32 |
| Overall | 100% | 21/100 | 25/100 | 49/100 |
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 E2B ITGoogle | ERNIE 4.5 21B A3BBaidu | o3-deep-researchOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.07 (best) | $9.00 |
| Output | — | $0.28 (best) | $36.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.122 (best) | $15.75 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 131,072 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens | 8,000 tokens | 100,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenGemma Terms of Use | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | — | 1 | 1 |
| Released | Jun 26, 2025 | Jun 30, 2025 | Jun 26, 2025 |
| Knowledge cutoff | Jun 2024 | — | May 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 E2B IT—
- ERNIE 4.5 21B A3B$1.26
- o3-deep-research$162.00
Which should you choose?
Which is better: Gemma 3n E2B IT, ERNIE 4.5 21B A3B or o3-deep-research?
o3-deep-research is the better all-round choice, scoring 49/100 against ERNIE 4.5 21B A3B (25) and Gemma 3n E2B IT (21). 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, Gemma 3n E2B IT, ERNIE 4.5 21B A3B or o3-deep-research?
ERNIE 4.5 21B A3B is cheaper at $0.07 input / $0.28 output per million tokens (median across 1 API provider). 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 $0.122 per million tokens for ERNIE 4.5 21B A3B versus $15.75 for o3-deep-research (129× as much). Gemma 3n E2B 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 E2B IT has not been scored yet, ERNIE 4.5 21B A3B has not been scored yet and o3-deep-research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E2B IT, ERNIE 4.5 21B A3B and o3-deep-research 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?
o3-deep-research has the largest context window at 200,000 tokens, against 131,072 for ERNIE 4.5 21B A3B and 32,768 for Gemma 3n E2B IT. Maximum output per response: Gemma 3n E2B IT up to 32,768, ERNIE 4.5 21B A3B up to 8,000, o3-deep-research up to 100,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E2B IT accepts text, images and audio; ERNIE 4.5 21B A3B accepts text; o3-deep-research accepts text and images. Gemma 3n E2B IT handles the widest range of inputs.
Are any of these open source?
Gemma 3n E2B IT and ERNIE 4.5 21B A3B publishes its weights (Gemma Terms of Use and Apache-2.0) and can be self-hosted; o3-deep-research is proprietary.
Which is newer?
ERNIE 4.5 21B A3B is the newest, released Jun 30, 2025. Gemma 3n E2B IT came out Jun 26, 2025; o3-deep-research came out Jun 26, 2025. Knowledge cutoff: Gemma 3n E2B IT Jun 2024, o3-deep-research May 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.
