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Ornith 1.0 35B

deepreinforce·deepreinforce/ornith-1.0-35b·GA·Open weights·ornith series
Large coding-reasoning model for agentic software tasks and RL search

Ornith 1.0 35B by deepreinforce is currently listed from a single provider. Its reference price is $0 per 1M tokens. It also has 1 free ($0) channel; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

The context window is 262,000 tokens, with an output limit of 100,000 tokens. It supports reasoning and tool use. Accepted input modalities are Text and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice.

Specs & pricing

Input / output per 1M tokens
Reference price·InferX
$0 / $0
Blended $0 · Cache read —
Lowest paid
No paid channels
1 more $0 channels
Context
262,000
Output limit
100,000
Knowledge cutoff
—
Released / updated
2026-06-25 / 2026-06-25
Capabilities
✓ Reasoning✓ Tool use? Structured output✓ Temperature✓ Attachments
Modalities
TextImage
License
MIT
Weights
Hugging Face
References
Model cardAnnouncement

Available at 1 providers0 with public prices · 1 free

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
InferX
Ornith-1.0-35B-FP8
GatewayFree——262,000100,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Reasoning control

Upstream provides no control info

1 / 1 providers expose no reasoning control (reasoning_options: []).

Your usage cost

This model is $0 across all listed channels (InferX).

Price historyone sample accumulated per data sync

Input list $0Output list $0Min blended —

Price history accumulates from each data sync; currently only 1 sample(s) (2026-10-11). Each future sync adds a point, and once accumulated a line is drawn here.

Benchmark7 items

NameConditionsScoreMetricSource
SWE-Bench Verified—75.6percent resolvedSource ↗
SWE-Bench Pro—50.4percent resolvedSource ↗
SWE-Bench Multilingual—69.3percent resolvedSource ↗
Terminal-Bench 2.1variant: Terminus-264.2percentSource ↗
Terminal-Bench 2.1variant: Claude Code62.8percentSource ↗
NL2Repo—34.6percentSource ↗
Claw-eval—69.8percentSource ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Related models

deOrnith 1.5 35B A3Bsame series$0.30 / $3.00deOrnith 1.5 35B Thinkingsame series$0.10 / $0.40
Data partly from models.dev (MIT) · InferX official docs ↗