Qwen3.5 Plus vs Qwen3.5 122B-A10B vs MiniMax-M2.5
Too close to call on our weighted score (Qwen3.5 Plus 59, Qwen3.5 122B-A10B 58, MiniMax-M2.5 48). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3.5 Plus
59/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
- Alibaba (Qwen)
Qwen3.5 122B-A10B
58/100- ECI—
- Price$0.40 / $3.20
- Context262K
MiniMaxMiniMax-M2.5
48/100- ECI146.7
- Price$0.30 / $1.20
- Context205K
Too close to call
It is close. Our weighted score puts them within a point (Qwen3.5 Plus 59/100, Qwen3.5 122B-A10B 58/100, MiniMax-M2.5 48/100), so choose by what matters most for your work: MiniMax-M2.5 on price and Qwen3.5 Plus 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 priceMiniMax-M2.5MiniMax-M2.5 $0.525 · Qwen3.5 Plus $0.90 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · Qwen3.5 122B-A10B 262,144 · MiniMax-M2.5 204,800 tokens
- Widest inputsQwen3.5 122B-A10BQwen3.5 Plus: Text, Images, Video · Qwen3.5 122B-A10B: Text, Images, Audio, Video · MiniMax-M2.5: Text
- Self-hostingQwen3.5 122B-A10B and MiniMax-M2.5Publishes downloadable weights
| Measure | Weight | Qwen3.5 Plus | Qwen3.5 122B-A10B | MiniMax-M2.5 |
|---|---|---|---|---|
| Price | 50% | 52 | 48 | 63 |
| Inputs & features | 30% | 70 | 90 | 35 |
| Context window | 20% | 60 | 37 | 32 |
| Overall | 100% | 59/100 | 58/100 | 48/100 |
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 | Qwen3.5 PlusAlibaba (Qwen) | Qwen3.5 122B-A10BAlibaba (Qwen) | MiniMax-M2.5MiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.8 (best) | — | 146.7 |
| ECI rank | #65 of 148 (best) | — | #66 of 148 |
| GPQA DiamondGraduate-level science questions | 84.9% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% | — | — |
| SimpleQA VerifiedShort factual questions | 25.4% | — | — |
| Price per million tokens | |||
| Input | $0.40 | $0.40 | $0.30 (best) |
| Output | $2.40 | $3.20 | $1.20 (best) |
| Cached input | — | — | $0.03 |
| Blended (3:1) | $0.90 | $1.10 | $0.525 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Alibaba API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 204,800 tokens |
| Max output | 65,536 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | qwen3.5-plus | qwen3.5-122b-a10b | MiniMax-M2.5 |
| API providers | 10 | 19 | 21 (best) |
| Released | Feb 16, 2026 | Feb 23, 2026 | Feb 12, 2026 |
| Knowledge cutoff | Apr 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3.5 Plus$8.80
- Qwen3.5 122B-A10B$10.40
- MiniMax-M2.5$5.40
Which should you choose?
Which is better: Qwen3.5 Plus, Qwen3.5 122B-A10B or MiniMax-M2.5?
It is close. Our weighted score puts them within a point (Qwen3.5 Plus 59/100, Qwen3.5 122B-A10B 58/100, MiniMax-M2.5 48/100), so choose by what matters most for your work: MiniMax-M2.5 on price and Qwen3.5 Plus 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, Qwen3.5 Plus, Qwen3.5 122B-A10B or MiniMax-M2.5?
MiniMax-M2.5 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Qwen3.5 Plus costs $0.40 input / $2.40 output per million tokens (official Alibaba 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 $0.525 per million tokens for MiniMax-M2.5 versus $0.90 for Qwen3.5 Plus (1.7× as much) and $1.10 for Qwen3.5 122B-A10B (2.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.5 Plus has an ECI of 146.8, Qwen3.5 122B-A10B has not been scored yet and MiniMax-M2.5 has an ECI of 146.7.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 Plus, Qwen3.5 122B-A10B and MiniMax-M2.5 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 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.5 122B-A10B and 204,800 for MiniMax-M2.5. Maximum output per response: Qwen3.5 Plus up to 65,536, Qwen3.5 122B-A10B up to 65,536, MiniMax-M2.5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 Plus accepts text, images and video; Qwen3.5 122B-A10B accepts text, images, audio and video; MiniMax-M2.5 accepts text. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
Qwen3.5 122B-A10B and MiniMax-M2.5 publishes its weights and can be self-hosted; Qwen3.5 Plus is proprietary.
Which is newer?
Qwen3.5 122B-A10B is the newest, released Feb 23, 2026. Qwen3.5 Plus came out Feb 16, 2026; MiniMax-M2.5 came out Feb 12, 2026. Knowledge cutoff: Qwen3.5 Plus Apr 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.
