Model profile
Ornith-1.0-9B
Evidence coverage
7 of 323 tracked benchmarks are published. 7 are verified and 0 provisional. 2 of 8 categories are measured.
- Published / tracked
- 7 / 323
- Verified
- 7
- Provisional
- 0
- Categories with evidence
- 2 / 8
Evidence by category
- Agentic2 benchmarksVerified
- Coding5 benchmarksVerified
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
BenchLM is tracking Ornith-1.0-9B, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Ornith-1.0-9B is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Ornith-1.0-9B sits inside the Ornith 1.0 family alongside Ornith-1.0-397B, Ornith-1.0-35B. This profile currently has 7 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Agentic (#61), while its weakest is Coding (#73). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- Ornith-1.0-9BCurrent modelDeepReinforce AIUnrankedNot measuredOrnith-1.0-9B is Unranked with a score of Not measured.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Agentic49%Eligible cohort rank #61 of 119Category score 48.0
- Coding40%Eligible cohort rank #73 of 122Category score 48.8
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #61 of 119Percentile 49thWeight 22%2 benchmarksVerified | 48.0 | #61 of 119 | 49th | 22% | 2 benchmarks | Verified |
| CodingRank #73 of 122Percentile 40thWeight 20%5 benchmarksVerified | 48.8 | #73 of 122 | 40th | 20% | 5 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic2 benchmarks
Coding5 benchmarks
Software Engineering Benchmark Verified
Frequently Asked Questions
How does Ornith-1.0-9B perform overall in AI benchmarks?
Ornith-1.0-9B has 7 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Ornith-1.0-9B good for coding and programming?
Ornith-1.0-9B ranks #73 out of 122 models in coding and programming benchmarks with an average score of 48.8. There are stronger options in this category.
Is Ornith-1.0-9B good for agentic tool use and computer tasks?
Ornith-1.0-9B ranks #61 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 48. There are stronger options in this category.
Is Ornith-1.0-9B open source?
Yes, Ornith-1.0-9B is an open weight model created by DeepReinforce AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Ornith-1.0-9B?
Ornith-1.0-9B belongs to the Ornith 1.0 family. Related variants on BenchLM include Ornith-1.0-397B, Ornith-1.0-35B.
Does Ornith-1.0-9B have full benchmark coverage on BenchLM?
Not yet. Ornith-1.0-9B currently has 7 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Ornith-1.0-9B?
Ornith-1.0-9B has a published context window of 256K, which determines how much text it can process in a single interaction.
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