Nex-N2-Pro vs Trinity Large Thinking vs Seed 2.1 Turbo
Too close to call on our weighted score (Seed 2.1 Turbo 57, Trinity Large Thinking 55, Nex-N2-Pro 53). The right pick depends on what you value most.
Nex AGI
Nex-N2-Pro
53/100- ECI—
- Price$0.50 / $2.50
- Context262K
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
ByteDance SeedSeed 2.1 Turbo
57/100- ECI—
- Price$0.445 / $2.23
- Context256K
Too close to call
It is close. Our weighted score puts them within 2 points (Seed 2.1 Turbo 57/100, Trinity Large Thinking 55/100, Nex-N2-Pro 53/100), so choose by what matters most for your work: Trinity Large Thinking on price and Trinity Large Thinking for long inputs. 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 priceTrinity Large ThinkingTrinity Large Thinking $0.388 · Seed 2.1 Turbo $0.891 · Nex-N2-Pro $1.00 per 1M tokens (3:1 blend)
- Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Nex-N2-Pro 262,144 · Seed 2.1 Turbo 256,000 tokens
- Widest inputsSeed 2.1 TurboNex-N2-Pro: Text, Images · Trinity Large Thinking: Text · Seed 2.1 Turbo: Text, Images, Video
- Self-hostingNex-N2-Pro and Trinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Nex-N2-Pro | Trinity Large Thinking | Seed 2.1 Turbo |
|---|---|---|---|---|
| Price | 50% | 50 | 69 | 52 |
| Inputs & features | 30% | 70 | 35 | 80 |
| Context window | 20% | 37 | 49 | 36 |
| Overall | 100% | 53/100 | 55/100 | 57/100 |
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 | Nex-N2-ProNex AGI | Trinity Large ThinkingArcee AI | Seed 2.1 TurboByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 | $0.25 (best) | $0.445 |
| Output | $2.50 | $0.80 (best) | $2.23 |
| Cached input | — | $0.06 (best) | $0.089 |
| Blended (3:1) | $1.00 | $0.388 (best) | $0.891 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Arcee API | Official Volcengine Ark API |
| Limits | |||
| Context window | 262,144 tokens | 524,288 tokens (best) | 256,000 tokens |
| Max output | 262,144 tokens (best) | 262,144 tokens (best) | 256,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | OpenOpenMDW-1.1 | Proprietary |
| API model ID | — | trinity-large-thinking | doubao-seed-2-1-turbo-260628 |
| API providers | 1 | 6 (best) | 4 |
| Released | Jun 2, 2026 | Apr 1, 2026 | Jun 23, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nex-N2-Pro$10.00
- Trinity Large Thinking$4.10
- Seed 2.1 Turbo$8.91
Which should you choose?
Which is better: Nex-N2-Pro, Trinity Large Thinking or Seed 2.1 Turbo?
It is close. Our weighted score puts them within 2 points (Seed 2.1 Turbo 57/100, Trinity Large Thinking 55/100, Nex-N2-Pro 53/100), so choose by what matters most for your work: Trinity Large Thinking on price and Trinity Large Thinking for long inputs. 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, Nex-N2-Pro, Trinity Large Thinking or Seed 2.1 Turbo?
Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). Seed 2.1 Turbo costs $0.445 input / $2.23 output per million tokens (official Volcengine Ark API price); Nex-N2-Pro costs $0.50 input / $2.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $0.891 for Seed 2.1 Turbo (2.3× as much) and $1.00 for Nex-N2-Pro (2.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nex-N2-Pro has not been scored yet, Trinity Large Thinking has not been scored yet and Seed 2.1 Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nex-N2-Pro, Trinity Large Thinking and Seed 2.1 Turbo 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 262,144 for Nex-N2-Pro and 256,000 for Seed 2.1 Turbo. Maximum output per response: Nex-N2-Pro up to 262,144, Trinity Large Thinking up to 262,144, Seed 2.1 Turbo up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Nex-N2-Pro accepts text and images; Trinity Large Thinking accepts text; Seed 2.1 Turbo accepts text, images and video. Seed 2.1 Turbo handles the widest range of inputs.
Are any of these open source?
Nex-N2-Pro and Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; Seed 2.1 Turbo is proprietary.
Which is newer?
Seed 2.1 Turbo is the newest, released Jun 23, 2026. Nex-N2-Pro came out Jun 2, 2026; Trinity Large Thinking came out Apr 1, 2026.
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.
