MiniMax-M2.7-highspeed vs Hy3 preview vs Qwen3.5 122B-A10B
Too close to call on our weighted score (Qwen3.5 122B-A10B 58, Hy3 preview 56, MiniMax-M2.7-highspeed 41). The right pick depends on what you value most.
MiniMaxMiniMax-M2.7-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
TencentHy3 preview
56/100- ECI—
- Price$0.176 / $0.586
- Context256K
Alibaba (Qwen)Qwen3.5 122B-A10B
58/100- ECI—
- Price$0.40 / $3.20
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3.5 122B-A10B 58/100, Hy3 preview 56/100, MiniMax-M2.7-highspeed 41/100), so choose by what matters most for your work: Hy3 preview on price and Qwen3.5 122B-A10B 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 priceHy3 previewHy3 preview $0.279 · MiniMax-M2.7-highspeed $1.05 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · Hy3 preview 256,000 · MiniMax-M2.7-highspeed 204,800 tokens
- Widest inputsQwen3.5 122B-A10BMiniMax-M2.7-highspeed: Text · Hy3 preview: Text · Qwen3.5 122B-A10B: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiniMax-M2.7-highspeed | Hy3 preview | Qwen3.5 122B-A10B |
|---|---|---|---|---|
| Price | 50% | 49 | 76 | 48 |
| Inputs & features | 30% | 35 | 35 | 90 |
| Context window | 20% | 32 | 36 | 37 |
| Overall | 100% | 41/100 | 56/100 | 58/100 |
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-M2.7-highspeedMiniMax | Hy3 previewTencent | Qwen3.5 122B-A10BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.176 (best) | $0.40 |
| Output | $2.40 | $0.586 (best) | $3.20 |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $1.05 | $0.279 (best) | $1.10 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Median of 4 providers | Official Alibaba API |
| Limits | |||
| Context window | 204,800 tokens | 256,000 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 64,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | MiniMax-M2.7-highspeed | hy3-preview | qwen3.5-122b-a10b |
| API providers | 14 | 5 | 19 (best) |
| Released | Mar 18, 2026 | Apr 20, 2026 | Feb 23, 2026 |
| Knowledge cutoff | — | — | — |
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-highspeed$10.80
- Hy3 preview$2.93
- Qwen3.5 122B-A10B$10.40
Which should you choose?
Which is better: MiniMax-M2.7-highspeed, Hy3 preview or Qwen3.5 122B-A10B?
It is close. Our weighted score puts them within 2 points (Qwen3.5 122B-A10B 58/100, Hy3 preview 56/100, MiniMax-M2.7-highspeed 41/100), so choose by what matters most for your work: Hy3 preview on price and Qwen3.5 122B-A10B 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-highspeed, Hy3 preview or Qwen3.5 122B-A10B?
Hy3 preview is cheaper at $0.176 input / $0.586 output per million tokens (median across 4 API providers; free on Tencent TokenHub). MiniMax-M2.7-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.279 per million tokens for Hy3 preview versus $1.05 for MiniMax-M2.7-highspeed (3.8× as much) and $1.10 for Qwen3.5 122B-A10B (3.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2.7-highspeed has not been scored yet, Hy3 preview has not been scored yet and Qwen3.5 122B-A10B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2.7-highspeed, Hy3 preview and Qwen3.5 122B-A10B 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?
Qwen3.5 122B-A10B has the largest context window at 262,144 tokens, against 256,000 for Hy3 preview and 204,800 for MiniMax-M2.7-highspeed. Maximum output per response: MiniMax-M2.7-highspeed up to 131,072, Hy3 preview up to 64,000, Qwen3.5 122B-A10B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.7-highspeed accepts text; Hy3 preview accepts text; Qwen3.5 122B-A10B accepts text, images, audio and video. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Hy3 preview is the newest, released Apr 20, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026; Qwen3.5 122B-A10B came out Feb 23, 2026.
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.
