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Model comparison

DeepSeek-R1 vs Nova Pro

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

DeepSeek
51.67/100
Margin
31.4pts
← winning
Amazon
20.32/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek-R1 #103 (Supported); Nova Pro #196 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek-R1 and Nova Pro share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 1 to Nova Pro.

Updated July 22, 2026
Shared results
11
DeepSeek-R1 only
0
Nova Pro only
1
Comparable categories
0 / 8

Benchmark data for DeepSeek-R1 and Nova Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.

Category breakdown

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

Operational comparison

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

MetricDeepSeek-R1Nova ProComparison
Input / output priceUSD per 1M tokensDeepSeek-R1$0.55 input / $2.19 outputNova ProNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek-R1Not availableNova Pro141 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek-R1Not availableNova Pro0.81 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek-R1128KNova Pro128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek-R1Nova ProResult
τ²-bench resultsSource 36.5%14%DeepSeek-R1 leads
Coding
BenchmarkDeepSeek-R1Nova ProResult
AA-SciCodeSource 40.3%20.8%DeepSeek-R1 leads
Reasoning
BenchmarkDeepSeek-R1Nova ProResult
AA-LCRSource 54.7%19.0%DeepSeek-R1 leads
CritPtSource 1.4%0.0%DeepSeek-R1 leads
Knowledge
BenchmarkDeepSeek-R1Nova ProResult
Artificial Analysis Intelligence IndexSource 20.1%7.7%DeepSeek-R1 leads
AA-GPQA DiamondSource 81.3%49.9%DeepSeek-R1 leads
AA-HLESource 14.9%3.4%DeepSeek-R1 leads
AA-Omniscience IndexSource -27.1%-47.6%DeepSeek-R1 leads
AA-Omniscience AccuracySource 31.0%17.0%DeepSeek-R1 leads
AA-Omniscience Hallucination RateSource 84.0%77.9%Nova Pro leads
Multimodal
BenchmarkDeepSeek-R1Nova ProResult
AA-MMMU-ProSource 44.3%Not comparable
Inst. Following
BenchmarkDeepSeek-R1Nova ProResult
AA-IFBenchSource 39.6%38.1%DeepSeek-R1 leads
Frequently Asked Questions (3)

Can I compare DeepSeek-R1 and Nova Pro 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 DeepSeek-R1 and Nova Pro today?

DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Nova Pro: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek-R1
API / mo$2,055
Self-host / mo$18,221
Break-even583M/day
Nova Pro
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

Related Comparisons

Last updated: July 22, 2026

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