Gemma-SEA-LION-v4-27B-IT vs GLM-4.7 vs Qwen3 Omni 30B A3B Thinking

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Gemma-SEA-LION-v4-27B-IT (45) and GLM-4.7 (41). It leads on inputs & features. GLM-4.7 wins on context window. 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.

Gemma-SEA-LION-v4-27B-IT is cheaper at $0.351 input / $0.555 output per million tokens (median across 3 API providers). Qwen3 Omni 30B A3B Thinking costs $0.25 input / $0.97 output per million tokens (median across 1 API provider); GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.402 per million tokens for Gemma-SEA-LION-v4-27B-IT versus $0.43 for Qwen3 Omni 30B A3B Thinking (1.1× as much) and $1.00 for GLM-4.7 (2.5× as much).

There is no independent benchmark that covers all three models yet. Gemma-SEA-LION-v4-27B-IT has not been scored yet, GLM-4.7 has an ECI of 143.7 and Qwen3 Omni 30B A3B Thinking has not been scored yet.

There are no published SWE-bench Verified results for Gemma-SEA-LION-v4-27B-IT, GLM-4.7 and Qwen3 Omni 30B A3B Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma-SEA-LION-v4-27B-IT does not support tool calling, which most coding agents need.

GLM-4.7 has the largest context window at 204,800 tokens, against 128,000 for Gemma-SEA-LION-v4-27B-IT and 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: Gemma-SEA-LION-v4-27B-IT up to 128,000, GLM-4.7 up to 131,072, Qwen3 Omni 30B A3B Thinking up to 16,384 tokens.

Gemma-SEA-LION-v4-27B-IT accepts text and images; GLM-4.7 accepts text; Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Yes, all three publish their weights (Apache-2.0), so you can self-host them.

GLM-4.7 is the newest, released Dec 22, 2025. Gemma-SEA-LION-v4-27B-IT came out Sep 23, 2025; Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025. Knowledge cutoff: GLM-4.7 Apr 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 Nov 2, 2026.