Gemma 3n E2B IT vs MiniMax M1 80K vs Morph V3 Fast
MiniMax M1 80K comes out ahead, 45 to 21 and 15 on our weighted score, though Morph V3 Fast is 6% cheaper per token.
GoogleGemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
- Our pick
MiniMaxMiniMax M1 80K
45/100- ECI—
- Price$0.55 / $2.20
- Context1M
Morph
Morph V3 Fast
15/100- ECI—
- Price$0.80 / $1.20
- Context262K
MiniMax M1 80K is our pick
MiniMax M1 80K is the better all-round choice, scoring 45/100 against Gemma 3n E2B IT (21) and Morph V3 Fast (15). 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 priceMorph V3 FastMorph V3 Fast $0.90 · MiniMax M1 80K $0.963 per 1M tokens (3:1 blend) · Gemma 3n E2B IT unpriced
- Longest contextMiniMax M1 80KMiniMax M1 80K 1,000,000 · Morph V3 Fast 262,144 · Gemma 3n E2B IT 32,768 tokens
- Widest inputsGemma 3n E2B ITGemma 3n E2B IT: Text, Images, Audio · MiniMax M1 80K: Text · Morph V3 Fast: Text
- Self-hostingGemma 3n E2B IT and MiniMax M1 80KPublishes downloadable weights (Gemma Terms of Use and Apache-2.0)
| Measure | Weight | Gemma 3n E2B IT | MiniMax M1 80K | Morph V3 Fast |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 0 |
| Context window | 40% | 0 | 60 | 37 |
| Overall | 100% | 21/100 | 45/100 | 15/100 |
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 | MiniMax M1 80KMiniMax | Morph V3 FastMorph |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.55 (best) | $0.80 |
| Output | — | $2.20 | $1.20 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.963 | $0.90 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 5 providers | Median of 5 providers |
| Limits | |||
| Context window | 32,768 tokens | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 32,768 tokens | 80,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenGemma Terms of Use | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | — | 5 | 5 |
| Released | Jun 26, 2025 | Jun 17, 2025 | Jul 7, 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.
- Gemma 3n E2B IT—
- MiniMax M1 80K$9.90
- Morph V3 Fast$10.40
Which should you choose?
Which is better: Gemma 3n E2B IT, MiniMax M1 80K or Morph V3 Fast?
MiniMax M1 80K is the better all-round choice, scoring 45/100 against Gemma 3n E2B IT (21) and Morph V3 Fast (15). 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, Gemma 3n E2B IT, MiniMax M1 80K or Morph V3 Fast?
Morph V3 Fast is cheaper at $0.80 input / $1.20 output per million tokens (median across 5 API providers). MiniMax M1 80K costs $0.55 input / $2.20 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Morph V3 Fast versus $0.963 for MiniMax M1 80K (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. Gemma 3n E2B IT has not been scored yet, MiniMax M1 80K has not been scored yet and Morph V3 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E2B IT, MiniMax M1 80K and Morph V3 Fast 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 and Morph V3 Fast does not support tool calling, which most coding agents need.
Which has the bigger context window?
MiniMax M1 80K has the largest context window at 1,000,000 tokens, against 262,144 for Morph V3 Fast and 32,768 for Gemma 3n E2B IT. Maximum output per response: Gemma 3n E2B IT up to 32,768, MiniMax M1 80K up to 80,000, Morph V3 Fast up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E2B IT accepts text, images and audio; MiniMax M1 80K accepts text; Morph V3 Fast accepts text. Gemma 3n E2B IT handles the widest range of inputs.
Are any of these open source?
Gemma 3n E2B IT and MiniMax M1 80K publishes its weights (Gemma Terms of Use and Apache-2.0) and can be self-hosted; Morph V3 Fast is proprietary.
Which is newer?
Morph V3 Fast is the newest, released Jul 7, 2025. Gemma 3n E2B IT came out Jun 26, 2025; MiniMax M1 80K came out Jun 17, 2025. 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.
