Capability
Unranked
field median 57.5
Not eligible for a public rank
Ornith-1.0-397B
Released June 2026 — see all recent releases
Decision reading
Ornith-1.0-397B is tracked, but not publicly ranked yet. The profile exposes 7 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of August 13, 2026 · How the score is built
Strongest published evidence
Agentic ranks #40. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
7 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
Not measured
field median 93 tok/s
Time to first token not measured
Context
256Ktokens
field median 200,000
Reported for this model; direct source link not stored
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic2/2 verified
- Coding5/5 verified
- ReasoningNot measured
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 256K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersCategory score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #40 of 128Percentile 69thWeight 22%2 benchmarksVerified | 53.3 | #40 of 128 | 69th | 22% | 2 benchmarks | Verified |
| CodingRank #44 of 134Percentile 68thWeight 20%5 benchmarksVerified | 53.5 | #44 of 134 | 68th | 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 ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score82.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap13.6 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score62.2% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap18.1 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score78.9% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap10.6 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score48.2% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 61.5% | Gap13.3 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.0 | Score77.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap14.4 behind | WeightDisplay only | Provider exact |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score77.5% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap14.4 behind | WeightWeighted 38% | Provider exact |
| Claw-Eval | Score77.1% | Versus best verified row Best verified: Ornith-1.0-397B · 77.1% | GapBest verified | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
June 2026 · you are here
Ornith-1.0-397BNot publicly ranked · Price not listed
397b · 397B
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Ornith-1.0-397B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Ornith-1.0-397B is a open weight model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from DeepReinforce's Ornith 1.0 launch page and matching Hugging Face model card. BenchLM maps Terminal-Bench 2.1 Terminus-2, SWE-bench Verified/Pro/Multilingual, NL2Repo, and ClawEval. Terminal-Bench Claude Code and SWE Atlas rows remain out of schema.
Ornith-1.0-397B sits in the Ornith 1.0 family with Ornith-1.0-35B, Ornith-1.0-9B. 7 of 430 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #40, while its lowest eligible position is Coding at #44. particularly useful for coding agents, browser research, and computer-use workflows.
Radar
Full release historyOrnith-1.0-397B release history
Ornith 1.0 released
DeepReinforce AI · Model release
Source confirmed
Frequently asked questions
How does Ornith-1.0-397B perform overall in AI benchmarks?
Ornith-1.0-397B has 7 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Ornith-1.0-397B good for coding and programming?
Ornith-1.0-397B ranks #44 out of 134 eligible models for coding and programming, with a public category score of 53.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Ornith-1.0-397B good for agentic tool use and computer tasks?
Ornith-1.0-397B ranks #40 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 53.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is Ornith-1.0-397B open source?
Ornith-1.0-397B is an open-weight model from DeepReinforce AI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Ornith-1.0-397B?
Ornith-1.0-397B belongs to the Ornith 1.0 family. Related tracked variants include Ornith-1.0-35B, Ornith-1.0-9B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Ornith-1.0-397B have full benchmark coverage on BenchLM?
No. Ornith-1.0-397B currently has 7 source-displayable rows across 430 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Ornith-1.0-397B?
Ornith-1.0-397B has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Last updated August 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
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