GLM-4.6V vs Seed 1.8 vs Trinity Large Thinking
Seed 1.8 comes out ahead, 63 to 59 and 55 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.6V
59/100- ECI—
- Price$0.30 / $0.90
- Context128K
- Our pick
ByteDance SeedSeed 1.8
63/100- ECI—
- Price$0.119 / $1.19
- Context256K
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
Seed 1.8 is our pick
Seed 1.8 is the better all-round choice, scoring 63/100 against GLM-4.6V (59) and Trinity Large Thinking (55). Trinity Large Thinking 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 priceSeed 1.8Seed 1.8 $0.386 · Trinity Large Thinking $0.388 · GLM-4.6V $0.45 per 1M tokens (3:1 blend)
- Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Seed 1.8 256,000 · GLM-4.6V 128,000 tokens
- Widest inputsGLM-4.6VGLM-4.6V: Text, Images, Video · Seed 1.8: Text, Images · Trinity Large Thinking: Text
- Self-hostingGLM-4.6V and Trinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | GLM-4.6V | Seed 1.8 | Trinity Large Thinking |
|---|---|---|---|---|
| Price | 50% | 66 | 69 | 69 |
| Inputs & features | 30% | 70 | 70 | 35 |
| Context window | 20% | 24 | 36 | 49 |
| Overall | 100% | 59/100 | 63/100 | 55/100 |
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-4.6VZ.ai (Zhipu) | Seed 1.8ByteDance Seed | Trinity Large ThinkingArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.119 (best) | $0.25 |
| Output | $0.90 | $1.19 | $0.80 (best) |
| Cached input | — | $0.024 (best) | $0.06 |
| Blended (3:1) | $0.45 | $0.386 (best) | $0.388 |
| Long-context rate | Same rate | Over 32K: $0.178 / $2.37 | Same rate |
| Price source | Official Z.AI API | Official Volcengine Ark API | Official Arcee API |
| Limits | |||
| Context window | 128,000 tokens | 256,000 tokens | 524,288 tokens (best) |
| Max output | 32,768 tokens | 64,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | OpenOpenMDW-1.1 |
| API model ID | glm-4.6v | doubao-seed-1-8-251228 | trinity-large-thinking |
| API providers | 10 (best) | 2 | 6 |
| Released | Dec 8, 2025 | Dec 28, 2025 | Apr 1, 2026 |
| 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-4.6V$4.80
- Seed 1.8$3.56
- Trinity Large Thinking$4.10
Which should you choose?
Which is better: GLM-4.6V, Seed 1.8 or Trinity Large Thinking?
Seed 1.8 is the better all-round choice, scoring 63/100 against GLM-4.6V (59) and Trinity Large Thinking (55). Trinity Large Thinking 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, GLM-4.6V, Seed 1.8 or Trinity Large Thinking?
Seed 1.8 is cheaper at $0.119 input / $1.19 output per million tokens (official Volcengine Ark API price). Trinity Large Thinking costs $0.25 input / $0.80 output per million tokens (official Arcee API price); GLM-4.6V costs $0.30 input / $0.90 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 1.8 versus $0.388 for Trinity Large Thinking (1× as much) and $0.45 for GLM-4.6V (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V has not been scored yet, Seed 1.8 has not been scored yet and Trinity Large Thinking has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V, Seed 1.8 and Trinity Large Thinking 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?
Trinity Large Thinking has the largest context window at 524,288 tokens, against 256,000 for Seed 1.8 and 128,000 for GLM-4.6V. Maximum output per response: GLM-4.6V up to 32,768, Seed 1.8 up to 64,000, Trinity Large Thinking up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V accepts text, images and video; Seed 1.8 accepts text and images; Trinity Large Thinking accepts text. GLM-4.6V handles the widest range of inputs.
Are any of these open source?
GLM-4.6V and Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; Seed 1.8 is proprietary.
Which is newer?
Trinity Large Thinking is the newest, released Apr 1, 2026. Seed 1.8 came out Dec 28, 2025; GLM-4.6V came out Dec 8, 2025. Knowledge cutoff: GLM-4.6V 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.
