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Comparison · 2 models · Updated Nov 2, 2026

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

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 45 on our weighted score, though Gemma-SEA-LION-v4-27B-IT is 7% cheaper per token.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
    Full specs Remove Qwen3 Omni 30B A3B Thinking

  2. AI Singapore

    Gemma-SEA-LION-v4-27B-IT

    Released Sep 23, 2025

    45/100
    • ECI—
    • Price$0.351 / $0.555
    • Context128K
    Full specs Remove Gemma-SEA-LION-v4-27B-IT

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

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). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT 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 per 1M tokens (3:1 blend)
  • Longest contextGemma-SEA-LION-v4-27B-ITGemma-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 · Gemma-SEA-LION-v4-27B-IT: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3 Omni 30B A3B ThinkingGemma-SEA-LION-v4-27B-IT
Price50%6466
Inputs & features30%8025
Context window20%1224
Overall100%59/10045/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3 Omni 30B A3B Thinking vs Gemma-SEA-LION-v4-27B-IT specifications side by side
SpecificationQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)Gemma-SEA-LION-v4-27B-ITAI Singapore
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.25 (best)$0.351
Output$0.97$0.555 (best)
Cached input——
Blended (3:1)$0.43$0.402 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 3 providers
Limits
Context window65,536 tokens128,000 tokens (best)
Max output16,384 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioYesNo
VideoYesNo
ReasoningYesNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenApache-2.0Open
API model ID——
API providers13 (best)
ReleasedSep 22, 2025Sep 23, 2025
Knowledge cutoff——
03 — Cost

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
  • Gemma-SEA-LION-v4-27B-IT$4.62
04 — Questions

Which should you choose?

Which is better: Qwen3 Omni 30B A3B Thinking 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). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT 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 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). 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).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 Omni 30B A3B Thinking has not been scored yet 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 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?

Gemma-SEA-LION-v4-27B-IT has the largest context window at 128,000 tokens, against 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: Qwen3 Omni 30B A3B Thinking up to 16,384, 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; 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, both publish their weights (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.

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.

05 — Keep comparing

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