MiniMax-M2 Her vs Trinity Large Preview vs Qwen3 Coder Next
Too close to call on our weighted score (Qwen3 Coder Next 36, Trinity Large Preview 34, MiniMax-M2 Her 26). The right pick depends on what you value most.
MiniMaxMiniMax-M2 Her
26/100- ECI—
- Price$0.30 / $1.20
- Context66K
Arcee AITrinity Large Preview
34/100- ECI—
- Price—
- Context524K
Alibaba (Qwen)Qwen3 Coder Next
36/100- ECI—
- Price$0.20 / $1.20
- Context262K
Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3 Coder Next 36/100, Trinity Large Preview 34/100, MiniMax-M2 Her 26/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Trinity Large Preview 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 priceQwen3 Coder NextQwen3 Coder Next $0.45 · MiniMax-M2 Her $0.525 per 1M tokens (3:1 blend) · Trinity Large Preview unpriced
- Longest contextTrinity Large PreviewTrinity Large Preview 524,288 · Qwen3 Coder Next 262,144 · MiniMax-M2 Her 65,536 tokens
- Widest inputsSame inputsMiniMax-M2 Her: Text · Trinity Large Preview: Text · Qwen3 Coder Next: Text
- Self-hostingTrinity Large Preview and Qwen3 Coder NextPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | MiniMax-M2 Her | Trinity Large Preview | Qwen3 Coder Next |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 35 |
| Context window | 40% | 12 | 49 | 37 |
| Overall | 100% | 26/100 | 34/100 | 36/100 |
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 | MiniMax-M2 HerMiniMax | Trinity Large PreviewArcee AI | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | — | $0.20 (best) |
| Output | $1.20 | — | $1.20 |
| Cached input | — | — | — |
| Blended (3:1) | $0.525 | — | $0.45 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 4 providers | — | Median of 11 providers |
| Limits | |||
| Context window | 65,536 tokens | 524,288 tokens (best) | 262,144 tokens |
| Max output | 2,048 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenOpenMDW-1.1 | Open |
| API model ID | — | — | — |
| API providers | 4 | 1 | 11 (best) |
| Released | Jan 23, 2026 | Jan 27, 2026 | Feb 3, 2026 |
| Knowledge cutoff | — | — | Sep 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax-M2 Her$5.40
- Trinity Large Preview—
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: MiniMax-M2 Her, Trinity Large Preview or Qwen3 Coder Next?
It is close. Our weighted score puts them within 1 points (Qwen3 Coder Next 36/100, Trinity Large Preview 34/100, MiniMax-M2 Her 26/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Trinity Large Preview 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, MiniMax-M2 Her, Trinity Large Preview or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper at $0.20 input / $1.20 output per million tokens (median across 11 API providers). MiniMax-M2 Her costs $0.30 input / $1.20 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Qwen3 Coder Next versus $0.525 for MiniMax-M2 Her (1.2× as much). Trinity Large Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2 Her has not been scored yet, Trinity Large Preview has not been scored yet and Qwen3 Coder Next has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2 Her, Trinity Large Preview and Qwen3 Coder Next yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Trinity Large Preview has the largest context window at 524,288 tokens, against 262,144 for Qwen3 Coder Next and 65,536 for MiniMax-M2 Her. Maximum output per response: MiniMax-M2 Her up to 2,048, Trinity Large Preview up to 262,144, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2 Her accepts text; Trinity Large Preview accepts text; Qwen3 Coder Next accepts text. They handle the same number of input types.
Are any of these open source?
Trinity Large Preview and Qwen3 Coder Next publishes its weights (OpenMDW-1.1) and can be self-hosted; MiniMax-M2 Her is proprietary.
Which is newer?
Qwen3 Coder Next is the newest, released Feb 3, 2026. Trinity Large Preview came out Jan 27, 2026; MiniMax-M2 Her came out Jan 23, 2026. Knowledge cutoff: Qwen3 Coder Next Sep 2025.
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 Oct 4, 2026.
