Qwen3 Omni 30B A3B Thinking vs Qwen3 235B-A22B Thinking 2507 vs Gemma-SEA-LION-v4-27B-IT
Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 45 and 42 on our weighted score, though Gemma-SEA-LION-v4-27B-IT is 7% cheaper per token.
- Our pick
Alibaba (Qwen)Qwen3 Omni 30B A3B Thinking
59/100- ECI—
- Price$0.25 / $0.97
- Context66K
- Alibaba (Qwen)
Qwen3 235B-A22B Thinking 2507
42/100- ECI143.8
- Price$0.30 / $2.90
- Context262K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
45/100- ECI—
- Price$0.351 / $0.555
- Context128K
Qwen3 Omni 30B A3B Thinking is our pick
Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Gemma-SEA-LION-v4-27B-IT (45) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. Qwen3 235B-A22B Thinking 2507 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.
- 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 235B-A22B Thinking 2507 $0.95 per 1M tokens (3:1 blend)
- Longest contextQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 262,144 · Gemma-SEA-LION-v4-27B-IT 128,000 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
- Widest inputsQwen3 Omni 30B A3B ThinkingQwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video · Qwen3 235B-A22B Thinking 2507: Text · Gemma-SEA-LION-v4-27B-IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3 Omni 30B A3B Thinking | Qwen3 235B-A22B Thinking 2507 | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|---|
| Price | 50% | 64 | 49 | 66 |
| Inputs & features | 30% | 80 | 35 | 25 |
| Context window | 20% | 12 | 37 | 24 |
| Overall | 100% | 59/100 | 42/100 | 45/100 |
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 | Qwen3 Omni 30B A3B ThinkingAlibaba (Qwen) | Qwen3 235B-A22B Thinking 2507Alibaba (Qwen) | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 143.8 | — |
| ECI rank | — | #93 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 80.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| SimpleQA VerifiedShort factual questions | — | 40.4% | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $0.30 | $0.351 |
| Output | $0.97 | $2.90 | $0.555 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.43 | $0.95 | $0.402 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 11 providers | Median of 3 providers |
| Limits | |||
| Context window | 65,536 tokens | 262,144 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens | 81,920 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | OpenApache 2.0 | Open |
| API model ID | — | — | — |
| API providers | 1 | 12 (best) | 3 |
| Released | Sep 22, 2025 | Jul 25, 2025 | Sep 23, 2025 |
| 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 Omni 30B A3B Thinking$4.44
- Qwen3 235B-A22B Thinking 2507$8.80
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Qwen3 Omni 30B A3B Thinking, Qwen3 235B-A22B Thinking 2507 or Gemma-SEA-LION-v4-27B-IT?
Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Gemma-SEA-LION-v4-27B-IT (45) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. Qwen3 235B-A22B Thinking 2507 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.
Which is cheaper, Qwen3 Omni 30B A3B Thinking, Qwen3 235B-A22B Thinking 2507 or Gemma-SEA-LION-v4-27B-IT?
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 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers). 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 $0.95 for Qwen3 235B-A22B Thinking 2507 (2.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3 Omni 30B A3B Thinking has not been scored yet, Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8 and Gemma-SEA-LION-v4-27B-IT has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 Omni 30B A3B Thinking, Qwen3 235B-A22B Thinking 2507 and Gemma-SEA-LION-v4-27B-IT 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 235B-A22B Thinking 2507 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: Qwen3 Omni 30B A3B Thinking up to 16,384, Qwen3 235B-A22B Thinking 2507 up to 81,920, Gemma-SEA-LION-v4-27B-IT up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video; Qwen3 235B-A22B Thinking 2507 accepts text; Gemma-SEA-LION-v4-27B-IT accepts text and images. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache-2.0 and Apache 2.0), so you can self-host them.
Which is newer?
Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 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.
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