LongCat-2.5-Preview vs Ornith 1.0 35B
LongCat-2.5-Preview comes out ahead, 60 to 51 on our weighted score, and it is the cheaper option too.
- Our pick
Meituan (LongCat)LongCat-2.5-Preview
60/100- ECI—
- Price$0.75 / $2.95
- Context1M
DeepReinforce
Ornith 1.0 35B
51/100- ECI—
- Price—
- Context262K
Add a model
Make it a three-way comparison.
LongCat-2.5-Preview is our pick
LongCat-2.5-Preview is the better all-round choice, scoring 60/100 against Ornith 1.0 35B (51). It leads on context window. The score weighs inputs & features 60%, context window 40%. 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 priceLongCat-2.5-PreviewLongCat-2.5-Preview $1.30 per 1M tokens (3:1 blend) · Ornith 1.0 35B unpriced
- Longest contextLongCat-2.5-PreviewLongCat-2.5-Preview 1,000,000 · Ornith 1.0 35B 262,144 tokens
- Widest inputsSame inputsLongCat-2.5-Preview: Text, Images · Ornith 1.0 35B: Text, Images
- Self-hostingOrnith 1.0 35BPublishes downloadable weights (MIT)
| Measure | Weight | LongCat-2.5-Preview | Ornith 1.0 35B |
|---|---|---|---|
| Inputs & features | 60% | 60 | 60 |
| Context window | 40% | 60 | 37 |
| Overall | 100% | 60/100 | 51/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | LongCat-2.5-PreviewMeituan (LongCat) | Ornith 1.0 35BDeepReinforce |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.75 | — |
| Output | $2.95 | — |
| Cached input | — | — |
| Blended (3:1) | $1.30 | — |
| Long-context rate | Same rate | — |
| Price source | Median of 1 providers | — |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 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 | No | No |
| Availability | ||
| Weights | Proprietary | OpenMIT |
| API model ID | — | — |
| API providers | 2 (best) | 1 |
| Released | Sep 25, 2026 | Jun 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.
- LongCat-2.5-Preview$13.40
- Ornith 1.0 35B—
Which should you choose?
Which is better: LongCat-2.5-Preview or Ornith 1.0 35B?
LongCat-2.5-Preview is the better all-round choice, scoring 60/100 against Ornith 1.0 35B (51). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, LongCat-2.5-Preview or Ornith 1.0 35B?
LongCat-2.5-Preview is cheaper at $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 $1.30 per million tokens for LongCat-2.5-Preview versus . Ornith 1.0 35B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. LongCat-2.5-Preview has not been scored yet and Ornith 1.0 35B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for LongCat-2.5-Preview and Ornith 1.0 35B 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 Ornith 1.0 35B. Maximum output per response: LongCat-2.5-Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
LongCat-2.5-Preview accepts text and images; Ornith 1.0 35B accepts text and images. They handle the same number of input types.
Are any of these open source?
Ornith 1.0 35B publishes its weights (MIT) 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. Ornith 1.0 35B came out Jun 25, 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.
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