Qwen3.6 35B-A3B vs GPT-5.4 nano vs MiniMax-M2.7

It is close. Our weighted score puts them within a point (Qwen3.6 35B-A3B 68/100, GPT-5.4 nano 68/100, MiniMax-M2.7 61/100), so choose by what matters most for your work: MiniMax-M2.7 for raw capability, GPT-5.4 nano on price and GPT-5.4 nano for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.6 35B-A3B costs $0.248 input / $1.49 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus $0.525 for MiniMax-M2.7 (1.1× as much) and $0.557 for Qwen3.6 35B-A3B (1.2× as much).

MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148), GPT-5.4 nano 145.8 (#75 of 148) and Qwen3.6 35B-A3B 143.9 (#83 of 148). The confidence ranges of the top two overlap (138.2–148.0 vs 143.2–147.7), so treat the gap as small.

There are no published SWE-bench Verified results for Qwen3.6 35B-A3B, GPT-5.4 nano and MiniMax-M2.7 yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

GPT-5.4 nano has the largest context window at 400,000 tokens, against 262,144 for Qwen3.6 35B-A3B and 204,800 for MiniMax-M2.7. Maximum output per response: Qwen3.6 35B-A3B up to 65,536, GPT-5.4 nano up to 128,000, MiniMax-M2.7 up to 131,072 tokens.

Qwen3.6 35B-A3B accepts text, images, audio and video; GPT-5.4 nano accepts text and images; MiniMax-M2.7 accepts text. Qwen3.6 35B-A3B handles the widest range of inputs.

Qwen3.6 35B-A3B and MiniMax-M2.7 publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.

Qwen3.6 35B-A3B is the newest, released Apr 17, 2026. MiniMax-M2.7 came out Mar 18, 2026; GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025.

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.