GPT-5 Chat vs Gemma 3n E2B IT vs Qwen MT Plus
GPT-5 Chat comes out ahead, 39 to 21 and 0 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAI
GPT-5 Chat
39/100- ECI—
- Price$1.25 / $10.00
- Context400K
Google
Gemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
Alibaba (Qwen)
Qwen MT Plus
0/100- ECI—
- Price$2.46 / $7.37
- Context16K
GPT-5 Chat is our pick
GPT-5 Chat is the better all-round choice, scoring 39/100 against Gemma 3n E2B IT (21) and Qwen MT Plus (0). It leads on 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 priceGPT-5 ChatGPT-5 Chat $3.44 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend) · Gemma 3n E2B IT unpriced
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Gemma 3n E2B IT 32,768 · Qwen MT Plus 16,384 tokens
- Widest inputsGemma 3n E2B ITGPT-5 Chat: Text, Images · Gemma 3n E2B IT: Text, Images, Audio · Qwen MT Plus: Text
- Self-hostingGemma 3n E2B ITPublishes downloadable weights (Gemma Terms of Use)
| Measure | Weight | GPT-5 Chat | Gemma 3n E2B IT | Qwen MT Plus |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 0 |
| Context window | 40% | 44 | 0 | 0 |
| Overall | 100% | 39/100 | 21/100 | 0/100 |
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) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 (best) | — | $2.46 |
| Output | $10.00 | — | $7.37 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 (best) | — | $3.69 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 5 providers | — | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens (best) | 32,768 tokens | 16,384 tokens |
| Max output | 128,000 tokens (best) | 32,768 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenGemma Terms of Use | Proprietary |
| API model ID | — | — | qwen-mt-plus |
| API providers | 5 (best) | — | 3 |
| Released | Aug 7, 2025 | Jun 26, 2025 | Jul 24, 2025 |
| Knowledge cutoff | Sep 30, 2024 | 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.
GPT-5 Chat$32.50
Gemma 3n E2B IT—
Qwen MT Plus$39.34
Which should you choose?
Which is better: GPT-5 Chat, Gemma 3n E2B IT or Qwen MT Plus?
GPT-5 Chat is the better all-round choice, scoring 39/100 against Gemma 3n E2B IT (21) and Qwen MT Plus (0). It leads on 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, GPT-5 Chat, Gemma 3n E2B IT or Qwen MT Plus?
GPT-5 Chat is cheaper at $1.25 input / $10.00 output per million tokens (median across 5 API providers). Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5 Chat versus $3.69 for Qwen MT Plus (1.1× 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. GPT-5 Chat has not been scored yet, Gemma 3n E2B IT has not been scored yet and Qwen MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Chat, Gemma 3n E2B IT and Qwen MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat, Gemma 3n E2B IT and Qwen MT Plus does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5 Chat has the largest context window at 400,000 tokens, against 32,768 for Gemma 3n E2B IT and 16,384 for Qwen MT Plus. Maximum output per response: GPT-5 Chat up to 128,000, Gemma 3n E2B IT up to 32,768, Qwen MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; Gemma 3n E2B IT accepts text, images and audio; Qwen MT Plus accepts text. Gemma 3n E2B IT handles the widest range of inputs.
Are any of these open source?
Gemma 3n E2B IT publishes its weights (Gemma Terms of Use) and can be self-hosted; GPT-5 Chat and Qwen MT Plus is proprietary.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Qwen MT Plus came out Jul 24, 2025; Gemma 3n E2B IT came out Jun 26, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, 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.