Seed 1.6 Vision vs Qwen3-Next 80B-A3B Instruct vs GLM-4.5-Air
Seed 1.6 Vision comes out ahead, 63 to 49 and 39 on our weighted score, and it is the cheaper option too.
- Our pick
ByteDance Seed
Seed 1.6 Vision
63/100- ECI—
- Price$0.119 / $1.19
- Context256K
Alibaba (Qwen)
Qwen3-Next 80B-A3B Instruct
39/100- ECI—
- Price$0.50 / $2.00
- Context131K
Z.ai (Zhipu)
GLM-4.5-Air
49/100- ECI—
- Price$0.20 / $1.10
- Context131K
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 Qwen3-Next 80B-A3B Instruct (39). It leads on price, 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 · GLM-4.5-Air $0.425 · Qwen3-Next 80B-A3B Instruct $0.875 per 1M tokens (3:1 blend)
- Longest contextSeed 1.6 VisionSeed 1.6 Vision 256,000 · Qwen3-Next 80B-A3B Instruct 131,072 · GLM-4.5-Air 131,072 tokens
- Widest inputsSeed 1.6 VisionSeed 1.6 Vision: Text, Images · Qwen3-Next 80B-A3B Instruct: Text · GLM-4.5-Air: Text
- Self-hostingQwen3-Next 80B-A3B Instruct and GLM-4.5-AirPublishes downloadable weights
| Measure | Weight | Seed 1.6 Vision | Qwen3-Next 80B-A3B Instruct | GLM-4.5-Air |
|---|---|---|---|---|
| Price | 50% | 69 | 53 | 68 |
| Inputs & features | 30% | 70 | 25 | 35 |
| Context window | 20% | 36 | 24 | 24 |
| Overall | 100% | 63/100 | 39/100 | 49/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.119 (best) | $0.50 | $0.20 |
| Output | $1.19 | $2.00 | $1.10 (best) |
| Cached input | $0.024 (best) | — | $0.03 |
| Blended (3:1) | $0.386 (best) | $0.875 | $0.425 |
| Long-context rate | Over 32K: $0.178 / $2.37 | Same rate | Same rate |
| Price source | Official Volcengine Ark API | Official Alibaba API | Official Z.AI API |
| Limits | |||
| Context window | 256,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 32,000 tokens | 32,768 tokens | 98,304 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | doubao-seed-1-6-vision-250815 | qwen3-next-80b-a3b-instruct | glm-4.5-air |
| API providers | 2 | 13 (best) | 13 (best) |
| Released | Aug 15, 2025 | Sep 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 2025 | 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.
Seed 1.6 Vision$3.56
Qwen3-Next 80B-A3B Instruct$9.00
GLM-4.5-Air$4.20
Which should you choose?
Which is better: Seed 1.6 Vision, Qwen3-Next 80B-A3B Instruct or GLM-4.5-Air?
Seed 1.6 Vision is the better all-round choice, scoring 63/100 against GLM-4.5-Air (49) and Qwen3-Next 80B-A3B Instruct (39). It leads on price, 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, Seed 1.6 Vision, Qwen3-Next 80B-A3B Instruct or GLM-4.5-Air?
Seed 1.6 Vision is cheaper at $0.119 input / $1.19 output per million tokens (official Volcengine Ark API price). GLM-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price); Qwen3-Next 80B-A3B Instruct costs $0.50 input / $2.00 output per million tokens (official Alibaba 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 $0.425 for GLM-4.5-Air (1.1× as much) and $0.875 for Qwen3-Next 80B-A3B Instruct (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Seed 1.6 Vision has not been scored yet, Qwen3-Next 80B-A3B Instruct has not been scored yet and GLM-4.5-Air has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Seed 1.6 Vision, Qwen3-Next 80B-A3B Instruct and GLM-4.5-Air yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Seed 1.6 Vision has the largest context window at 256,000 tokens, against 131,072 for Qwen3-Next 80B-A3B Instruct and 131,072 for GLM-4.5-Air. Maximum output per response: Seed 1.6 Vision up to 32,000, Qwen3-Next 80B-A3B Instruct up to 32,768, GLM-4.5-Air up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Seed 1.6 Vision accepts text and images; Qwen3-Next 80B-A3B Instruct accepts text; GLM-4.5-Air accepts text. Seed 1.6 Vision handles the widest range of inputs.
Are any of these open source?
Qwen3-Next 80B-A3B Instruct and GLM-4.5-Air publishes its weights and can be self-hosted; Seed 1.6 Vision is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. Seed 1.6 Vision came out Aug 15, 2025; GLM-4.5-Air came out Jul 28, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B Instruct Apr 2025, 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.