GLM-4.5-Air vs Seed 1.6 Vision vs Gemma-SEA-LION-v4-27B-IT
Seed 1.6 Vision comes out ahead, 63 to 49 and 39 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.5-Air
49/100- ECI—
- Price$0.20 / $1.10
- Context131K
- Our pick
ByteDance SeedSeed 1.6 Vision
63/100- ECI—
- Price$0.119 / $1.19
- Context256K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
39/100- ECI—
- Price$0.351 / $0.555
- Context128K
Seed 1.6 Vision is our pick
Seed 1.6 Vision is the better all-round choice, scoring 63/100 against GLM-4.5-Air (49) and Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features and 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 priceSeed 1.6 VisionSeed 1.6 Vision $0.386 · Gemma-SEA-LION-v4-27B-IT $0.402 · GLM-4.5-Air $0.425 per 1M tokens (3:1 blend)
- Longest contextSeed 1.6 VisionSeed 1.6 Vision 256,000 · GLM-4.5-Air 131,072 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsSeed 1.6 VisionGLM-4.5-Air: Text · Seed 1.6 Vision: Text, Images · Gemma-SEA-LION-v4-27B-IT: Text
- Self-hostingGLM-4.5-Air and Gemma-SEA-LION-v4-27B-ITPublishes downloadable weights
| Measure | Weight | GLM-4.5-Air | Seed 1.6 Vision | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|---|
| Price | 50% | 68 | 69 | 69 |
| Inputs & features | 30% | 35 | 70 | 0 |
| Context window | 20% | 24 | 36 | 24 |
| Overall | 100% | 49/100 | 63/100 | 39/100 |
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 | GLM-4.5-AirZ.ai (Zhipu) | Seed 1.6 VisionByteDance Seed | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.119 (best) | $0.351 |
| Output | $1.10 | $1.19 | $0.555 (best) |
| Cached input | $0.03 | $0.024 (best) | — |
| Blended (3:1) | $0.425 | $0.386 (best) | $0.402 |
| Long-context rate | Same rate | Over 32K: $0.178 / $2.37 | Same rate |
| Price source | Official Z.AI API | Official Volcengine Ark API | Median of 2 providers |
| Limits | |||
| Context window | 131,072 tokens | 256,000 tokens (best) | 128,000 tokens |
| Max output | 98,304 tokens | 32,000 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | glm-4.5-air | doubao-seed-1-6-vision-250815 | — |
| API providers | 13 (best) | 2 | 2 |
| Released | Jul 28, 2025 | Aug 15, 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.
- GLM-4.5-Air$4.20
- Seed 1.6 Vision$3.56
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: GLM-4.5-Air, Seed 1.6 Vision or Gemma-SEA-LION-v4-27B-IT?
Seed 1.6 Vision is the better all-round choice, scoring 63/100 against GLM-4.5-Air (49) and Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features and 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, GLM-4.5-Air, Seed 1.6 Vision or Gemma-SEA-LION-v4-27B-IT?
Seed 1.6 Vision is cheaper at $0.119 input / $1.19 output per million tokens (official Volcengine Ark API price). Gemma-SEA-LION-v4-27B-IT costs $0.351 input / $0.555 output per million tokens (median across 2 API providers); GLM-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.386 per million tokens for Seed 1.6 Vision versus $0.402 for Gemma-SEA-LION-v4-27B-IT (1× as much) and $0.425 for GLM-4.5-Air (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.5-Air has not been scored yet, Seed 1.6 Vision 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 GLM-4.5-Air, Seed 1.6 Vision 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?
Seed 1.6 Vision has the largest context window at 256,000 tokens, against 131,072 for GLM-4.5-Air and 128,000 for Gemma-SEA-LION-v4-27B-IT. Maximum output per response: GLM-4.5-Air up to 98,304, Seed 1.6 Vision up to 32,000, Gemma-SEA-LION-v4-27B-IT up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GLM-4.5-Air accepts text; Seed 1.6 Vision accepts text and images; Gemma-SEA-LION-v4-27B-IT accepts text. Seed 1.6 Vision handles the widest range of inputs.
Are any of these open source?
GLM-4.5-Air and Gemma-SEA-LION-v4-27B-IT publishes its weights and can be self-hosted; Seed 1.6 Vision is proprietary.
Which is newer?
Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Seed 1.6 Vision came out Aug 15, 2025; GLM-4.5-Air came out Jul 28, 2025. Knowledge cutoff: GLM-4.5-Air 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 Oct 4, 2026.
