Gemma-SEA-LION-v4-27B-IT vs Qwen3 Omni 30B A3B Thinking vs Qwen3-VL Plus
Too close to call on our weighted score (Qwen3 Omni 30B A3B Thinking 59, Qwen3-VL Plus 58, Gemma-SEA-LION-v4-27B-IT 45). The right pick depends on what you value most.
AI Singapore
Gemma-SEA-LION-v4-27B-IT
45/100- ECI—
- Price$0.351 / $0.555
- Context128K
Alibaba (Qwen)Qwen3 Omni 30B A3B Thinking
59/100- ECI—
- Price$0.25 / $0.97
- Context66K
- Alibaba (Qwen)
Qwen3-VL Plus
58/100- ECI—
- Price$0.20 / $1.60
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Qwen3 Omni 30B A3B Thinking 59/100, Qwen3-VL Plus 58/100, Gemma-SEA-LION-v4-27B-IT 45/100), so choose by what matters most for your work: Gemma-SEA-LION-v4-27B-IT on price and Qwen3-VL 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 priceGemma-SEA-LION-v4-27B-ITGemma-SEA-LION-v4-27B-IT $0.402 · Qwen3 Omni 30B A3B Thinking $0.43 · Qwen3-VL Plus $0.55 per 1M tokens (3:1 blend)
- Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · Gemma-SEA-LION-v4-27B-IT 128,000 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
- Widest inputsQwen3 Omni 30B A3B ThinkingGemma-SEA-LION-v4-27B-IT: Text, Images · Qwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video · Qwen3-VL Plus: Text, Images
- Self-hostingGemma-SEA-LION-v4-27B-IT and Qwen3 Omni 30B A3B ThinkingPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Gemma-SEA-LION-v4-27B-IT | Qwen3 Omni 30B A3B Thinking | Qwen3-VL Plus |
|---|---|---|---|---|
| Price | 50% | 66 | 64 | 60 |
| Inputs & features | 30% | 25 | 80 | 70 |
| Context window | 20% | 24 | 12 | 37 |
| Overall | 100% | 45/100 | 59/100 | 58/100 |
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 | Gemma-SEA-LION-v4-27B-ITAI Singapore | Qwen3 Omni 30B A3B ThinkingAlibaba (Qwen) | Qwen3-VL PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.351 | $0.25 | $0.20 (best) |
| Output | $0.555 (best) | $0.97 | $1.60 |
| Cached input | — | — | $0.04 |
| Blended (3:1) | $0.402 (best) | $0.43 | $0.55 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.30 / $2.40 |
| Price source | Median of 3 providers | Median of 1 providers | Official Alibaba API |
| Limits | |||
| Context window | 128,000 tokens | 65,536 tokens | 262,144 tokens (best) |
| Max output | 128,000 tokens (best) | 16,384 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Proprietary |
| API model ID | — | — | qwen3-vl-plus |
| API providers | 3 | 1 | 6 (best) |
| Released | Sep 23, 2025 | Sep 22, 2025 | Sep 23, 2025 |
| 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.
- Gemma-SEA-LION-v4-27B-IT$4.62
- Qwen3 Omni 30B A3B Thinking$4.44
- Qwen3-VL Plus$5.20
Which should you choose?
Which is better: Gemma-SEA-LION-v4-27B-IT, Qwen3 Omni 30B A3B Thinking or Qwen3-VL Plus?
It is close. Our weighted score puts them within a point (Qwen3 Omni 30B A3B Thinking 59/100, Qwen3-VL Plus 58/100, Gemma-SEA-LION-v4-27B-IT 45/100), so choose by what matters most for your work: Gemma-SEA-LION-v4-27B-IT on price and Qwen3-VL 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, Gemma-SEA-LION-v4-27B-IT, Qwen3 Omni 30B A3B Thinking or Qwen3-VL Plus?
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); Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba 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 $0.55 for Qwen3-VL Plus (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma-SEA-LION-v4-27B-IT has not been scored yet, Qwen3 Omni 30B A3B Thinking has not been scored yet and Qwen3-VL Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma-SEA-LION-v4-27B-IT, Qwen3 Omni 30B A3B Thinking and Qwen3-VL Plus 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.
Which has the bigger context window?
Qwen3-VL Plus has the largest context window at 262,144 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, Qwen3 Omni 30B A3B Thinking up to 16,384, Qwen3-VL Plus up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma-SEA-LION-v4-27B-IT accepts text and images; Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video; Qwen3-VL Plus accepts text and images. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.
Are any of these open source?
Gemma-SEA-LION-v4-27B-IT and Qwen3 Omni 30B A3B Thinking publishes its weights (Apache-2.0) and can be self-hosted; Qwen3-VL Plus is proprietary.
Which is newer?
Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Qwen3-VL Plus came out Sep 23, 2025; Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025. Knowledge cutoff: Qwen3-VL 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 Nov 2, 2026.
Related comparisons
- Gemma-SEA-LION-v4-27B-IT vs Llama 3.3 Nemotron Super 49B v1.5NVIDIA
- Gemma-SEA-LION-v4-27B-IT vs GLM-4.5-AirZ.ai (Zhipu)
- Gemma-SEA-LION-v4-27B-IT vs Codestral 25.08Mistral AI
- Qwen3 Omni 30B A3B Thinking vs GLM-4.5-AirZ.ai (Zhipu)
- Qwen3 Omni 30B A3B Thinking vs Codestral 25.08Mistral AI
- Qwen3 Omni 30B A3B Thinking vs Grok Code Fast 1xAI
