Qwen3.5 35B-A3B Base vs MiniMax-M2 Her
Too close to call on our weighted score (Qwen3.5 35B-A3B Base 45, MiniMax-M2 Her 43). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen3.5 35B-A3B Base
45/100- ECI—
- Price$0.54 / $1.33
- Context262K
MiniMax
MiniMax-M2 Her
43/100- ECI—
- Price$0.30 / $1.20
- Context66K
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Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3.5 35B-A3B Base 45/100, MiniMax-M2 Her 43/100), so choose by what matters most for your work: MiniMax-M2 Her on price and Qwen3.5 35B-A3B Base 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 HerMiniMax-M2 Her $0.525 · Qwen3.5 35B-A3B Base $0.739 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 35B-A3B BaseQwen3.5 35B-A3B Base 262,144 · MiniMax-M2 Her 65,536 tokens
- Widest inputsQwen3.5 35B-A3B BaseQwen3.5 35B-A3B Base: Text, Images, Video · MiniMax-M2 Her: Text
- Self-hostingQwen3.5 35B-A3B BasePublishes downloadable weights (Apache-2.0)
| Measure | Weight | Qwen3.5 35B-A3B Base | MiniMax-M2 Her |
|---|---|---|---|
| Price | 50% | 54 | 60 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 37 | 12 |
| Overall | 100% | 45/100 | 43/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.54 | $0.30 (best) |
| Output | $1.33 | $1.20 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.739 | $0.525 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 3 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 65,536 tokens |
| Max output | 65,536 tokens (best) | 2,048 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | Proprietary |
| API model ID | — | — |
| API providers | 1 | 3 (best) |
| Released | Feb 24, 2026 | Jan 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.
Qwen3.5 35B-A3B Base$8.07
MiniMax-M2 Her$5.40
Which should you choose?
Which is better: Qwen3.5 35B-A3B Base or MiniMax-M2 Her?
It is close. Our weighted score puts them within 1 points (Qwen3.5 35B-A3B Base 45/100, MiniMax-M2 Her 43/100), so choose by what matters most for your work: MiniMax-M2 Her on price and Qwen3.5 35B-A3B Base 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 35B-A3B Base or MiniMax-M2 Her?
MiniMax-M2 Her is cheaper at $0.30 input / $1.20 output per million tokens (median across 3 API providers). Qwen3.5 35B-A3B Base costs $0.54 input / $1.33 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2 Her versus $0.739 for Qwen3.5 35B-A3B Base (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.5 35B-A3B Base has not been scored yet and MiniMax-M2 Her has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 35B-A3B Base and MiniMax-M2 Her yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen3.5 35B-A3B Base does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3.5 35B-A3B Base has the largest context window at 262,144 tokens, against 65,536 for MiniMax-M2 Her. Maximum output per response: Qwen3.5 35B-A3B Base up to 65,536, MiniMax-M2 Her up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 35B-A3B Base accepts text, images and video; MiniMax-M2 Her accepts text. Qwen3.5 35B-A3B Base handles the widest range of inputs.
Are any of these open source?
Qwen3.5 35B-A3B Base publishes its weights (Apache-2.0) and can be self-hosted; MiniMax-M2 Her is proprietary.
Which is newer?
Qwen3.5 35B-A3B Base is the newest, released Feb 24, 2026. MiniMax-M2 Her came out Jan 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 Nov 2, 2026.