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Model comparison

Claude Opus 4.7 vs DeepSeek R1 Distill Qwen 32B

Data verified

Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

71.63/100
Margin
29.2pts
← winning
42.42/100
0 category wins0 category wins

BenchAlign evidence: Claude Opus 4.7 supported; DeepSeek R1 Distill Qwen 32B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 and DeepSeek R1 Distill Qwen 32B share 6 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Claude Opus 4.7; 0 to DeepSeek R1 Distill Qwen 32B.

Updated July 15, 2026
Shared results
6
Claude Opus 4.7 only
16
DeepSeek R1 Distill Qwen 32B only
0
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.7 and DeepSeek R1 Distill Qwen 32B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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.

Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek R1 Distill Qwen 32B. Claude Opus 4.7 has the larger context window at 1M, compared with 128K for DeepSeek R1 Distill Qwen 32B.

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 Claude Opus 4.7 and DeepSeek R1 Distill Qwen 32B
CategoryClaude Opus 4.7ΔDeepSeek R1 Distill Qwen 32B
MathClaude Opus 4.738.6MarginNo overlapDeepSeek R1 Distill Qwen 32BNot measured

Operational comparison

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

MetricClaude Opus 4.7DeepSeek R1 Distill Qwen 32BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.7$5 input / $25 outputDeepSeek R1 Distill Qwen 32B$0 input / $0 outputDeepSeek R1 Distill Qwen 32B has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7Not availableDeepSeek R1 Distill Qwen 32B60 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7Not availableDeepSeek R1 Distill Qwen 32B0.84 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.71MDeepSeek R1 Distill Qwen 32B128KClaude Opus 4.7 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
τ²-bench resultsSource 74%Not comparable
Gert LabsSource 65.59%Not comparable
ResearchClawBenchSource 20.7%Not comparable
OSWorld 2.0Source 13.9%Not comparable
Coding
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
Vibe Code BenchSource 71.00%Not comparable
React Native EvalsSource 82.8%Not comparable
Terminal-Bench HardSource 54.5%Not comparable
AA-SciCodeSource 50.1%37.6%Claude Opus 4.7 leads
FrontierCodeSource 38.5%Not comparable
Reasoning
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
AA-LCRSource 67.0%9.7%Claude Opus 4.7 leads
CritPtSource 5.1%Not comparable
Knowledge
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
Artificial Analysis Intelligence IndexSource 42.7%11.0%Claude Opus 4.7 leads
AA-GPQA DiamondSource 88.5%61.5%Claude Opus 4.7 leads
AA-HLESource 31.2%5.5%Claude Opus 4.7 leads
AA-Omniscience IndexSource 14.2%Not comparable
AA-Omniscience AccuracySource 43.5%Not comparable
AA-Omniscience Hallucination RateSource 51.9%Not comparable
Math
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
FrontierMath v2 (Tiers 1-3)Source 43.793%Not comparable
FrontierMath v2 (Tier 4)Source 22.917%Not comparable
Multimodal
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
AA-MMMU-ProSource 76.4%Not comparable
Design Arena WebsiteSource 1328Not comparable
Inst. Following
BenchmarkClaude Opus 4.7DeepSeek R1 Distill Qwen 32BResult
AA-IFBenchSource 43.6%22.9%Claude Opus 4.7 leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.7 and DeepSeek R1 Distill Qwen 32B 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 Claude Opus 4.7 and DeepSeek R1 Distill Qwen 32B today?

Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 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 15, 2026

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