Qwen3 Omni 30B A3B Thinking vs Claude Haiku 4.5 vs Gemma-SEA-LION-v4-27B-IT
Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 47 and 45 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
AnthropicClaude Haiku 4.5
47/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
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 Claude Haiku 4.5 (47) and Gemma-SEA-LION-v4-27B-IT (45). Claude Haiku 4.5 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 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · 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 · Claude Haiku 4.5: Text, Images, PDFs · 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)
| Measure | Weight | Qwen3 Omni 30B A3B Thinking | Claude Haiku 4.5 | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|---|
| Price | 50% | 64 | 34 | 66 |
| Inputs & features | 30% | 80 | 80 | 25 |
| Context window | 20% | 12 | 32 | 24 |
| Overall | 100% | 59/100 | 47/100 | 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) | Claude Haiku 4.5Anthropic | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 142.2 | — |
| ECI rank | — | #102 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 71.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 66.7% | — |
| SimpleQA VerifiedShort factual questions | — | 13.2% | — |
| Price per million tokens | |||
| Input | $0.25 (best) | $1.00 | $0.351 |
| Output | $0.97 | $5.00 | $0.555 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | $0.43 | $2.00 | $0.402 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Anthropic API | Median of 3 providers |
| Limits | |||
| Context window | 65,536 tokens | 200,000 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens | 64,000 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenApache-2.0 | Proprietary | Open |
| API model ID | — | claude-haiku-4-5 | — |
| API providers | 1 | 48 (best) | 3 |
| Released | Sep 22, 2025 | Oct 15, 2025 | Sep 23, 2025 |
| Knowledge cutoff | — | Feb 28, 2025 | — |
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
- Claude Haiku 4.5$20.00
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Qwen3 Omni 30B A3B Thinking, Claude Haiku 4.5 or Gemma-SEA-LION-v4-27B-IT?
Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Claude Haiku 4.5 (47) and Gemma-SEA-LION-v4-27B-IT (45). Claude Haiku 4.5 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, Claude Haiku 4.5 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); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic 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 $2.00 for Claude Haiku 4.5 (5× 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, Claude Haiku 4.5 has an ECI of 142.2 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, Claude Haiku 4.5 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?
Claude Haiku 4.5 has the largest context window at 200,000 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, Claude Haiku 4.5 up to 64,000, 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; Claude Haiku 4.5 accepts text, images and PDFs; 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; Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. Gemma-SEA-LION-v4-27B-IT came out Sep 23, 2025; Qwen3 Omni 30B A3B Thinking came out Sep 22, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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
- 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
- Claude Haiku 4.5 vs GLM-4.7Z.ai (Zhipu) · ECI 143.7
- Claude Haiku 4.5 vs Mistral Medium 3.5Mistral AI · ECI 141.5
- Claude Haiku 4.5 vs Qwen3 235B-A22B Thinking 2507Alibaba (Qwen) · ECI 143.8
