LongCat-2.0 vs Ornith 1.0 9B
Ornith 1.0 9B comes out ahead, 51 to 45 on our weighted score.
Meituan (LongCat)
LongCat-2.0
45/100- ECI—
- Price$0.75 / $2.95
- Context1M
- Our pick
DeepReinforce
Ornith 1.0 9B
51/100- ECI—
- Price—
- Context262K
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Make it a three-way comparison.
Ornith 1.0 9B is our pick
Ornith 1.0 9B is the better all-round choice, scoring 51/100 against LongCat-2.0 (45). It leads on inputs & features. LongCat-2.0 wins 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-2.0LongCat-2.0 $1.30 per 1M tokens (3:1 blend) · Ornith 1.0 9B unpriced
- Longest contextLongCat-2.0LongCat-2.0 1,000,000 · Ornith 1.0 9B 262,144 tokens
- Widest inputsOrnith 1.0 9BLongCat-2.0: Text · Ornith 1.0 9B: Text, Images
- Self-hostingOrnith 1.0 9BPublishes downloadable weights (MIT)
| Measure | Weight | LongCat-2.0 | Ornith 1.0 9B |
|---|---|---|---|
| Inputs & features | 60% | 35 | 60 |
| Context window | 40% | 60 | 37 |
| Overall | 100% | 45/100 | 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 | Ornith 1.0 9BDeepReinforce | |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.75 | — |
| Output | $2.95 | — |
| Cached input | $0.015 | — |
| Blended (3:1) | $1.30 | — |
| Long-context rate | Same rate | — |
| Price source | Official LongCat API | — |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens | — |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | 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 | LongCat-2.0 | — |
| API providers | 5 | — |
| Released | Jun 30, 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-2.0$13.40
- Ornith 1.0 9B—
Which should you choose?
Which is better: LongCat-2.0 or Ornith 1.0 9B?
Ornith 1.0 9B is the better all-round choice, scoring 51/100 against LongCat-2.0 (45). It leads on inputs & features. LongCat-2.0 wins 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-2.0 or Ornith 1.0 9B?
LongCat-2.0 is cheaper at $0.75 input / $2.95 output per million tokens (official LongCat API price). . At a typical mix of three input tokens to one output token, that is $1.30 per million tokens for LongCat-2.0 versus . Ornith 1.0 9B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. LongCat-2.0 has not been scored yet and Ornith 1.0 9B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for LongCat-2.0 and Ornith 1.0 9B 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-2.0 has the largest context window at 1,000,000 tokens, against 262,144 for Ornith 1.0 9B. Maximum output per response: LongCat-2.0 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
LongCat-2.0 accepts text; Ornith 1.0 9B accepts text and images. Ornith 1.0 9B handles the widest range of inputs.
Are any of these open source?
Ornith 1.0 9B publishes its weights (MIT) and can be self-hosted; LongCat-2.0 is proprietary.
Which is newer?
LongCat-2.0 is the newest, released Jun 30, 2026. Ornith 1.0 9B 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.