Nex-N2-Pro vs LongCat-2.5-Preview
Too close to call on our weighted score (Nex-N2-Pro 53, LongCat-2.5-Preview 52). The right pick depends on what you value most.
Nex AGI
Nex-N2-Pro
53/100- ECI—
- Price$0.50 / $2.50
- Context262K
Meituan (LongCat)LongCat-2.5-Preview
52/100- ECI—
- Price$0.75 / $2.95
- Context1M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Nex-N2-Pro 53/100, LongCat-2.5-Preview 52/100), so choose by what matters most for your work: Nex-N2-Pro on price and LongCat-2.5-Preview 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 priceNex-N2-ProNex-N2-Pro $1.00 · LongCat-2.5-Preview $1.30 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.5-PreviewLongCat-2.5-Preview 1,000,000 · Nex-N2-Pro 262,144 tokens
- Widest inputsSame inputsNex-N2-Pro: Text, Images · LongCat-2.5-Preview: Text, Images
- Self-hostingNex-N2-ProPublishes downloadable weights
| Measure | Weight | Nex-N2-Pro | LongCat-2.5-Preview |
|---|---|---|---|
| Price | 50% | 50 | 44 |
| Inputs & features | 30% | 70 | 60 |
| Context window | 20% | 37 | 60 |
| Overall | 100% | 53/100 | 52/100 |
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 | LongCat-2.5-PreviewMeituan (LongCat) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 (best) | $0.75 |
| Output | $2.50 (best) | $2.95 |
| Cached input | — | — |
| Blended (3:1) | $1.00 (best) | $1.30 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers |
| Limits | ||
| Context window | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | 1 | 2 (best) |
| Released | Jun 2, 2026 | Sep 25, 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
- LongCat-2.5-Preview$13.40
Which should you choose?
Which is better: Nex-N2-Pro or LongCat-2.5-Preview?
It is close. Our weighted score puts them within 1 points (Nex-N2-Pro 53/100, LongCat-2.5-Preview 52/100), so choose by what matters most for your work: Nex-N2-Pro on price and LongCat-2.5-Preview 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 or LongCat-2.5-Preview?
Nex-N2-Pro is cheaper at $0.50 input / $2.50 output per million tokens (median across 1 API provider). LongCat-2.5-Preview costs $0.75 input / $2.95 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for Nex-N2-Pro versus $1.30 for LongCat-2.5-Preview (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nex-N2-Pro has not been scored yet and LongCat-2.5-Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nex-N2-Pro and LongCat-2.5-Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
LongCat-2.5-Preview has the largest context window at 1,000,000 tokens, against 262,144 for Nex-N2-Pro. Maximum output per response: Nex-N2-Pro up to 262,144, LongCat-2.5-Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nex-N2-Pro accepts text and images; LongCat-2.5-Preview accepts text and images. They handle the same number of input types.
Are any of these open source?
Nex-N2-Pro publishes its weights and can be self-hosted; LongCat-2.5-Preview is proprietary.
Which is newer?
LongCat-2.5-Preview is the newest, released Sep 25, 2026. Nex-N2-Pro came out Jun 2, 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.
