MiniMax-M2.7 vs MiniMax-M2 Her vs Qwen3 Coder Next
Too close to call on our weighted score (Qwen3 Coder Next 51, MiniMax-M2.7 48, MiniMax-M2 Her 45). The right pick depends on what you value most.
MiniMaxMiniMax-M2.7
48/100- ECI145.9
- Price$0.30 / $1.20
- Context205K
- MiniMax
MiniMax-M2 Her
45/100- ECI—
- Price$0.30 / $1.20
- Context66K
Alibaba (Qwen)Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 Coder Next 51/100, MiniMax-M2.7 48/100, MiniMax-M2 Her 45/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Qwen3 Coder Next for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. 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-M2.7 $0.525 · MiniMax-M2 Her $0.525 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder NextQwen3 Coder Next 262,144 · MiniMax-M2.7 204,800 · MiniMax-M2 Her 65,536 tokens
- Widest inputsSame inputsMiniMax-M2.7: Text · MiniMax-M2 Her: Text · Qwen3 Coder Next: Text
- Self-hostingMiniMax-M2.7 and Qwen3 Coder NextPublishes downloadable weights
| Measure | Weight | MiniMax-M2.7 | MiniMax-M2 Her | Qwen3 Coder Next |
|---|---|---|---|---|
| Price | 50% | 63 | 63 | 66 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 32 | 12 | 37 |
| Overall | 100% | 48/100 | 45/100 | 51/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiniMax-M2.7MiniMax | MiniMax-M2 HerMiniMax | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.9 | — | — |
| ECI rank | #73 of 148 | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.30 | $0.20 (best) |
| Output | $1.20 | $1.20 | $1.20 |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $0.525 | $0.525 | $0.45 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Median of 4 providers | Median of 11 providers |
| Limits | |||
| Context window | 204,800 tokens | 65,536 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 2,048 tokens | 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 | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | MiniMax-M2.7 | — | — |
| API providers | 29 (best) | 4 | 11 |
| Released | Mar 18, 2026 | Jan 23, 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-M2.7$5.40
- MiniMax-M2 Her$5.40
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: MiniMax-M2.7, MiniMax-M2 Her or Qwen3 Coder Next?
It is close. Our weighted score puts them within 2 points (Qwen3 Coder Next 51/100, MiniMax-M2.7 48/100, MiniMax-M2 Her 45/100), so choose by what matters most for your work: Qwen3 Coder Next on price and Qwen3 Coder Next for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiniMax-M2.7, MiniMax-M2 Her 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-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); 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-M2.7 (1.2× as much) and $0.525 for MiniMax-M2 Her (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2.7 has an ECI of 145.9, MiniMax-M2 Her 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-M2.7, MiniMax-M2 Her 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?
Qwen3 Coder Next has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2.7 and 65,536 for MiniMax-M2 Her. Maximum output per response: MiniMax-M2.7 up to 131,072, MiniMax-M2 Her up to 2,048, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.7 accepts text; MiniMax-M2 Her accepts text; Qwen3 Coder Next accepts text. They handle the same number of input types.
Are any of these open source?
MiniMax-M2.7 and Qwen3 Coder Next publishes its weights and can be self-hosted; MiniMax-M2 Her is proprietary.
Which is newer?
MiniMax-M2.7 is the newest, released Mar 18, 2026. Qwen3 Coder Next came out Feb 3, 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.
