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Model comparison

Ornith-1.0-397B vs SWE-1.7

Data verified

Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

DeepReinforce AI
72/100
Margin
2.0pts
winning →
Cognition
74/100
0 category wins1 category wins

Evidence parity. Ornith-1.0-397B and SWE-1.7 share 3 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Ornith-1.0-397B; 1 to SWE-1.7.

Updated July 16, 2026
Shared results
3
Ornith-1.0-397B only
4
SWE-1.7 only
1
Comparable categories
1 / 8

Pick SWE-1.7 if you want the stronger benchmark profile. Ornith-1.0-397B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

SWE-1.7 has the cleaner provisional overall profile here, landing at 74 versus 72. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

SWE-1.7's sharpest advantage is in agentic, where it averages 81.5 against 77.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 77.5% to 81.5%.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Ornith-1.0-397B and SWE-1.7
CategoryOrnith-1.0-397BΔSWE-1.7
AgenticOrnith-1.0-397B77.5Margin 4.0SWE-1.781.5
CodingOrnith-1.0-397B74.6MarginNo overlapSWE-1.7Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Ornith-1.0-397BB · SWE-1.7
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 77.5%B 81.5%
    Winner: SWE-1.7Δ 4
    Terminal-Bench 2.0: Ornith-1.0-397B scored 77.5%; SWE-1.7 scored 81.5%. SWE-1.7 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricOrnith-1.0-397BSWE-1.7Comparison
Input / output priceUSD per 1M tokensOrnith-1.0-397B$0 input / $0 outputSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondOrnith-1.0-397BNot availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenOrnith-1.0-397BNot availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensOrnith-1.0-397B256KSWE-1.7256KListed context windows are equal.

Benchmark Deep Dive

AgenticSWE-1.7 wins
BenchmarkOrnith-1.0-397BSWE-1.7Result
Terminal-Bench 2.0Source 77.5%81.5%SWE-1.7 leads
Claw-EvalSource 77.1%Not comparable
Coding
BenchmarkOrnith-1.0-397BSWE-1.7Result
SWE-bench VerifiedSource 82.4%Not comparable
SWE-bench ProSource 62.2%Not comparable
SWE MultilingualSource 78.9%77.8%Ornith-1.0-397B leads
NL2RepoSource 48.2%Not comparable
Terminal-Bench 2.0Source 77.5%81.5%SWE-1.7 leads
FrontierCodeSource 42.3%Not comparable
Frequently Asked Questions (2)

Which is better, Ornith-1.0-397B or SWE-1.7?

SWE-1.7 is ahead on BenchLM's provisional leaderboard, 74 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 77.5% and 81.5%.

Which is better for agentic tasks, Ornith-1.0-397B or SWE-1.7?

SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 77.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 16, 2026

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