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Model comparison

Ornith-1.0-9B 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
49/100
Margin
25.0pts
winning →
Cognition
74/100
0 category wins1 category wins

Evidence parity. Ornith-1.0-9B and SWE-1.7 share 3 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Ornith-1.0-9B; 1 to SWE-1.7.

Updated July 15, 2026
Shared results
3
Ornith-1.0-9B only
4
SWE-1.7 only
1
Comparable categories
1 / 8

Pick SWE-1.7 if you want the stronger benchmark profile. Ornith-1.0-9B 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 is clearly ahead on the provisional aggregate, 74 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

SWE-1.7's sharpest advantage is in agentic, where it averages 81.5 against 43.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 43.1% 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-1.0-9B and SWE-1.7
CategoryOrnith-1.0-9BΔSWE-1.7
AgenticOrnith-1.0-9B43.1Margin 38.4SWE-1.781.5
CodingOrnith-1.0-9B59.2MarginNo overlapSWE-1.7Not measured

Decisive benchmark drivers

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

More
A · Ornith-1.0-9BB · SWE-1.7
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 43.1%B 81.5%
    Winner: SWE-1.7Δ 38.4
    Terminal-Bench 2.0: Ornith-1.0-9B scored 43.1%; 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-1.0-9BSWE-1.7Comparison
Input / output priceUSD per 1M tokensOrnith-1.0-9B$0 input / $0 outputSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondOrnith-1.0-9BNot availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenOrnith-1.0-9BNot availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensOrnith-1.0-9B256KSWE-1.7256KListed context windows are equal.

Benchmark Deep Dive

AgenticSWE-1.7 wins
BenchmarkOrnith-1.0-9BSWE-1.7Result
Terminal-Bench 2.0Source 43.1%81.5%SWE-1.7 leads
Claw-EvalSource 63.1%Not comparable
Coding
BenchmarkOrnith-1.0-9BSWE-1.7Result
SWE-bench VerifiedSource 69.4%Not comparable
SWE-bench ProSource 42.9%Not comparable
SWE MultilingualSource 52%77.8%SWE-1.7 leads
NL2RepoSource 27.2%Not comparable
Terminal-Bench 2.0Source 43.1%81.5%SWE-1.7 leads
FrontierCodeSource 42.3%Not comparable
Frequently Asked Questions (2)

Which is better, Ornith-1.0-9B or SWE-1.7?

SWE-1.7 is ahead on BenchLM's provisional leaderboard, 74 to 49. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 43.1% and 81.5%.

Which is better for agentic tasks, Ornith-1.0-9B or SWE-1.7?

SWE-1.7 has the edge for agentic tasks in this comparison, averaging 81.5 versus 43.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 15, 2026

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