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Model comparison

o1-pro vs SWE-1.7

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
OpenAI
45.8/100
Margin
28.2pts
winning →
Cognition
74/100
0 category wins0 category wins

Public leaderboard positions: o1-pro #140 (Estimated); SWE-1.7 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1-pro and SWE-1.7 share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to o1-pro; 4 to SWE-1.7.

Updated July 17, 2026
Shared results
0
o1-pro only
2
SWE-1.7 only
4
Comparable categories
0 / 8

Benchmark data for o1-pro and SWE-1.7 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

SWE-1.7 has the larger context window at 256K, compared with 200K for o1-pro.

Operational comparison

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

Metrico1-proSWE-1.7Comparison
Input / output priceUSD per 1M tokenso1-pro$150 input / $600 outputSWE-1.7Not availableA complete price comparison is not available.
Generation speedtokens per secondo1-proNot availableSWE-1.7Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno1-proNot availableSWE-1.7Not availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1-pro200KSWE-1.7256KSWE-1.7 lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1-proSWE-1.7Result
Terminal-Bench 2.0Source 81.5%Not comparable
Coding
Benchmarko1-proSWE-1.7Result
FrontierCodeSource 42.3%Not comparable
Terminal-Bench 2.0Source 81.5%Not comparable
SWE MultilingualSource 77.8%Not comparable
Knowledge
Benchmarko1-proSWE-1.7Result
GPQASource 79%Not comparable
Artificial Analysis Intelligence IndexSource 18.9%Not comparable
Frequently Asked Questions (3)

Can I compare o1-pro and SWE-1.7 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for o1-pro and SWE-1.7 today?

o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 17, 2026

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