Ornith 1.0 released
DeepReinforce AI · Model release
Source confirmed
Data as of September 27, 2026 · How the score is built
Superseded.DeepReinforce AI has newer models in this line:Ornith-1.5-397B
SupersededOpen WeightReasoning
Released June 2026256K context
Ornith-1.0-397B
Decision readingOrnith-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.
Released June 2026 — see all recent releases
Ornith-1.0-397B will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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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.
Capability
Unranked
field median 50.2Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.97No comparable first-party hosted token rate
Speed
Not measured
field median 91 tok/sTime to first token not measured
Context
256Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
7 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 7 displayable benchmark rows
Follow model changesCategory 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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%5 benchmarksVerified | 57.5 | 5 benchmarks | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
7 of 486 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Verified sourceProvisionalNot 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 Pro | Score62.2% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap27.7 behind | Weight26% ref. weight | Provider exact |
| SWE Multilingual | Score78.9% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap15 behind | Weight5% ref. weight | Provider exact |
| Terminal-Bench 2.1 | Score77.5% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap15.3 behind | WeightScored in Agentic | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score82.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap13.6 behind | WeightDisplay only | Provider exact |
| NL2Repo | Score48.2% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 65.4% | Gap17.2 behind | WeightDisplay only | Provider exact |
Agentic2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score77.5% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap15.3 behind | Weight8% ref. weight | Provider exact |
| Claw-Eval | Score77.1% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap4.3 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 7 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Radar
Full release historyOrnith-1.0-397B release history
Radar confirmed these at the source. Use Ornith-1.0-397B in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
- Superseded
- 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
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 486 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated September 27, 2026. Runtime fields remain blank until a sourced snapshot exists.
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 parametersQuestions
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 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Ornith-1.0-397B good for agentic tool use and computer tasks?
Ornith-1.0-397B has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
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 486 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.