GPT-5.4 nano vs Gemma 4 31B IT vs MiniMax-M2.7

It is close. Our weighted score puts them within 2 points (Gemma 4 31B IT 69/100, 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, Gemma 4 31B IT on price and GPT-5.4 nano for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). GPT-5.4 nano costs $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). At a typical mix of three input tokens to one output token, that is $0.205 per million tokens for Gemma 4 31B IT versus $0.463 for GPT-5.4 nano (2.3× as much) and $0.525 for MiniMax-M2.7 (2.6× 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 Gemma 4 31B IT 142.8 (#86 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 GPT-5.4 nano, Gemma 4 31B IT 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 Gemma 4 31B IT and 204,800 for MiniMax-M2.7. Maximum output per response: GPT-5.4 nano up to 128,000, Gemma 4 31B IT up to 32,768, MiniMax-M2.7 up to 131,072 tokens.

GPT-5.4 nano accepts text and images; Gemma 4 31B IT accepts text and images; MiniMax-M2.7 accepts text. GPT-5.4 nano handles the widest range of inputs.

Gemma 4 31B IT and MiniMax-M2.7 publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.

Gemma 4 31B IT is the newest, released Apr 2, 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.