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Comparison · 3 models · Updated Nov 2, 2026

Qwen3 Omni 30B A3B Thinking vs Grok Code Fast 1 vs Gemma-SEA-LION-v4-27B-IT

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 48 and 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
  2. xAI

    Grok Code Fast 1

    Released Sep 2, 2025

    48/100
    • ECI—
    • Price$0.20 / $1.50
    • Context256K
  3. AI Singapore

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

    Released Sep 23, 2025

    45/100
    • ECI—
    • Price$0.351 / $0.555
    • Context128K
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 Grok Code Fast 1 (48) and Gemma-SEA-LION-v4-27B-IT (45). It leads on inputs & features. Grok Code Fast 1 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 · Grok Code Fast 1 $0.525 per 1M tokens (3:1 blend)
  • Longest contextGrok Code Fast 1Grok Code Fast 1 256,000 · 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 · Grok Code Fast 1: Text · Gemma-SEA-LION-v4-27B-IT: Text, Images
  • Self-hostingQwen3 Omni 30B A3B Thinking and Gemma-SEA-LION-v4-27B-ITPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightQwen3 Omni 30B A3B ThinkingGrok Code Fast 1Gemma-SEA-LION-v4-27B-IT
Price50%646066
Inputs & features30%803525
Context window20%123624
Overall100%59/10048/10045/100

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 Grok Code Fast 1 vs Gemma-SEA-LION-v4-27B-IT specifications side by side
SpecificationQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)Grok Code Fast 1xAIGemma-SEA-LION-v4-27B-ITAI Singapore
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.25$0.20 (best)$0.351
Output$0.97$1.50$0.555 (best)
Cached input———
Blended (3:1)$0.43$0.525$0.402 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 5 providersMedian of 3 providers
Limits
Context window65,536 tokens256,000 tokens (best)128,000 tokens
Max output16,384 tokens10,000 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenApache-2.0ProprietaryOpen
API model ID———
API providers17 (best)3
ReleasedSep 22, 2025Sep 2, 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
  • Grok Code Fast 1$5.00
  • Gemma-SEA-LION-v4-27B-IT$4.62
04 — Questions

Which should you choose?

Which is better: Qwen3 Omni 30B A3B Thinking, Grok Code Fast 1 or Gemma-SEA-LION-v4-27B-IT?

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Grok Code Fast 1 (48) and Gemma-SEA-LION-v4-27B-IT (45). It leads on inputs & features. Grok Code Fast 1 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, Grok Code Fast 1 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); Grok Code Fast 1 costs $0.20 input / $1.50 output per million tokens (median across 5 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 $0.525 for Grok Code Fast 1 (1.3× 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, Grok Code Fast 1 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, Grok Code Fast 1 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?

Grok Code Fast 1 has the largest context window at 256,000 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, Grok Code Fast 1 up to 10,000, 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; Grok Code Fast 1 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?

Qwen3 Omni 30B A3B Thinking and Gemma-SEA-LION-v4-27B-IT publishes its weights (Apache-2.0) and can be self-hosted; Grok Code Fast 1 is proprietary.

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; Grok Code Fast 1 came out Sep 2, 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.