Qwen3-VL Plus vs Grok Code Fast 1 vs Gemma-SEA-LION-v4-27B-IT
Qwen3-VL Plus comes out ahead, 58 to 48 and 45 on our weighted score, though Gemma-SEA-LION-v4-27B-IT is 27% cheaper per token.
- Our pick
Alibaba (Qwen)
Qwen3-VL Plus
58/100- ECI—
- Price$0.20 / $1.60
- Context262K
xAI
Grok Code Fast 1
48/100- ECI—
- Price$0.20 / $1.50
- Context256K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
45/100- ECI—
- Price$0.351 / $0.555
- Context128K
Qwen3-VL Plus is our pick
Qwen3-VL Plus is the better all-round choice, scoring 58/100 against Grok Code Fast 1 (48) and Gemma-SEA-LION-v4-27B-IT (45). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT wins on price. 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 · Grok Code Fast 1 $0.525 · Qwen3-VL Plus $0.55 per 1M tokens (3:1 blend)
- Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · Grok Code Fast 1 256,000 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsQwen3-VL Plus and Gemma-SEA-LION-v4-27B-ITQwen3-VL Plus: Text, Images · Grok Code Fast 1: Text · Gemma-SEA-LION-v4-27B-IT: Text, Images
- Self-hostingGemma-SEA-LION-v4-27B-ITPublishes downloadable weights
| Measure | Weight | Qwen3-VL Plus | Grok Code Fast 1 | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|---|
| Price | 50% | 60 | 60 | 66 |
| Inputs & features | 30% | 70 | 35 | 25 |
| Context window | 20% | 37 | 36 | 24 |
| Overall | 100% | 58/100 | 48/100 | 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 | Gemma-SEA-LION-v4-27B-ITAI Singapore | ||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $0.20 (best) | $0.351 |
| Output | $1.60 | $1.50 | $0.555 (best) |
| Cached input | $0.04 | — | — |
| Blended (3:1) | $0.55 | $0.525 | $0.402 (best) |
| Long-context rate | Over 32K: $0.30 / $2.40 | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 5 providers | Median of 3 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 256,000 tokens | 128,000 tokens |
| Max output | 32,768 tokens | 10,000 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | qwen3-vl-plus | — | — |
| API providers | 6 | 7 (best) | 3 |
| Released | Sep 23, 2025 | Sep 2, 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.
Qwen3-VL Plus$5.20
Grok Code Fast 1$5.00
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Qwen3-VL Plus, Grok Code Fast 1 or Gemma-SEA-LION-v4-27B-IT?
Qwen3-VL Plus is the better all-round choice, scoring 58/100 against Grok Code Fast 1 (48) and Gemma-SEA-LION-v4-27B-IT (45). It leads on inputs & features. Gemma-SEA-LION-v4-27B-IT wins on price. 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-VL Plus, 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). Grok Code Fast 1 costs $0.20 input / $1.50 output per million tokens (median across 5 API providers); 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 $0.525 for Grok Code Fast 1 (1.3× 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. Qwen3-VL Plus 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-VL Plus, 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?
Qwen3-VL Plus has the largest context window at 262,144 tokens, against 256,000 for Grok Code Fast 1 and 128,000 for Gemma-SEA-LION-v4-27B-IT. Maximum output per response: Qwen3-VL Plus up to 32,768, 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-VL Plus accepts text and images; Grok Code Fast 1 accepts text; Gemma-SEA-LION-v4-27B-IT accepts text and images. Qwen3-VL Plus handles the widest range of inputs.
Are any of these open source?
Gemma-SEA-LION-v4-27B-IT publishes its weights and can be self-hosted; Qwen3-VL Plus and Grok Code Fast 1 is proprietary.
Which is newer?
Qwen3-VL Plus is the newest, released Sep 23, 2025. Gemma-SEA-LION-v4-27B-IT came out Sep 23, 2025; Grok Code Fast 1 came out Sep 2, 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.