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Model comparison

DeepSeek Coder 2.0 vs DeepSeek-R1

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.
N/A
No comparison
DeepSeek
51.67/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek Coder 2.0 #114 (Estimated); DeepSeek-R1 #103 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek Coder 2.0 and DeepSeek-R1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek Coder 2.0; 11 to DeepSeek-R1.

Updated July 20, 2026
Shared results
0
DeepSeek Coder 2.0 only
0
DeepSeek-R1 only
11
Comparable categories
0 / 8

Benchmark data for DeepSeek Coder 2.0 and DeepSeek-R1 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 does not have sourced benchmark coverage for DeepSeek Coder 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Operational comparison

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

MetricDeepSeek Coder 2.0DeepSeek-R1Comparison
Input / output priceUSD per 1M tokensDeepSeek Coder 2.0Not availableDeepSeek-R1$0.55 input / $2.19 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek Coder 2.0Not availableDeepSeek-R1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek Coder 2.0Not availableDeepSeek-R1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek Coder 2.0128KDeepSeek-R1128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek Coder 2.0DeepSeek-R1Result
τ²-bench resultsSource 36.5%Not comparable
Coding
BenchmarkDeepSeek Coder 2.0DeepSeek-R1Result
AA-SciCodeSource 40.3%Not comparable
Reasoning
BenchmarkDeepSeek Coder 2.0DeepSeek-R1Result
AA-LCRSource 54.7%Not comparable
CritPtSource 1.4%Not comparable
Knowledge
BenchmarkDeepSeek Coder 2.0DeepSeek-R1Result
Artificial Analysis Intelligence IndexSource 20.1%Not comparable
AA-GPQA DiamondSource 81.3%Not comparable
AA-HLESource 14.9%Not comparable
AA-Omniscience IndexSource -27.1%Not comparable
AA-Omniscience AccuracySource 31.0%Not comparable
AA-Omniscience Hallucination RateSource 84.0%Not comparable
Inst. Following
BenchmarkDeepSeek Coder 2.0DeepSeek-R1Result
AA-IFBenchSource 39.6%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek Coder 2.0 and DeepSeek-R1 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 Coder 2.0 and DeepSeek-R1 today?

DeepSeek Coder 2.0: Pricing unavailable DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens 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 Coder 2.0
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
DeepSeek-R1
API / mo$2,055
Self-host / mo$18,221
Break-even583M/day
Model the full break-even

Related Comparisons

Last updated: July 20, 2026

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