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Claude 4 Opus vs DeepSeek R1

Which AI model is better in 2026? Compare Claude 4 Opus and DeepSeek R1 on benchmarks, pricing, speed, context window, and real-world fit.

Quick summary

DeepSeek R1 is currently the stronger overall pick for math, speed, price, and open source. Claude 4 Opus wins on reasoning, coding, and context. DeepSeek R1 is also cheaper on blended API price ($0.96 vs $16.00 / 1M).

Overall winner

DeepSeek R1

View DeepSeek R1 review

Claude 4 Opus wins

  • Reasoning
  • Coding
  • Context

DeepSeek R1 wins

  • Math
  • Speed
  • Price
  • Open source

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Anthropic

Claude 4 Opus

ProprietaryFeb 2026

Anthropic’s 2026 flagship — best-in-class on code and long-horizon agents.

Open docs
DeepSeek

DeepSeek R1

Open sourceJan 2025

Open-weights reasoning model that matches o1 at 1/25 the price.

Open docs

Claude 4 Opus vs DeepSeek R1: overview

Claude 4 Opus (Anthropic) and DeepSeek R1 (DeepSeek) are frequently compared by teams choosing an AI stack in 2026. Claude 4 Opus: Anthropic’s 2026 flagship — best-in-class on code and long-horizon agents. DeepSeek R1: Open-weights reasoning model that matches o1 at 1/25 the price. This Claude 4 Opus vs DeepSeek R1 comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.

Claude 4 Opus is proprietary with a 500k-token context window and a blended API price near $16.00 / 1M tokens (intelligence index 81/100). DeepSeek R1 is open-weights with 128k context at about $0.96 blended / 1M (intelligence 73/100). Those gaps drive most “Claude 4 Opus vs DeepSeek R1” searches — quality versus cost, closed versus open, cloud versus self-host.

Where they differ most: Claude 4 Opus tends to lead on reasoning, coding, and context, while DeepSeek R1 leads on math, speed, price, and open source. Choose DeepSeek R1 when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.

Claude 4 Opus is often shortlisted for long-context coding, tool-using agents, and document understanding. DeepSeek R1 fits self-hosted reasoning, math & code, and cost-sensitive agents. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.

People search “Claude 4 Opus vs DeepSeek R1”, “which is better”, and “Claude 4 Opus vs DeepSeek R1 pricing” for the same reason: switching models is expensive if quality drops, and staying put is expensive if you overpay. Use the winner card for a fast answer, the head-to-head table for receipts, and the editorial verdict for a human recommendation. Claude 4 Opus currently ranks among frontier options from Anthropic; DeepSeek R1 is a flexible open-weights alternative from DeepSeek. If API pricing is your main concern, start with the pricing section; for multimodal workloads, check vision/audio rows in technical differences; for agents and long documents, prioritize context and reasoning wins.

Head to head

Spec
Claude 4 Opus
DeepSeek R1
Winner
Reason
Intelligence index↑ better
Winner81
73
Claude 4 Opus
Claude 4 Opus leads on the composite intelligence index (81 vs 73).
Speed↑ better
50 tok/s
Winner60 tok/s
DeepSeek R1
DeepSeek R1 generates tokens faster (60 vs 50 tok/s).
Time to first token↓ better
Winner1.4 s
1.5 s
Claude 4 Opus
Claude 4 Opus starts streaming sooner (1.4s vs 1.5s TTFT).
Context window↑ better
Winner500k
128k
Claude 4 Opus
Claude 4 Opus wins with 500k tokens — about 3.9× DeepSeek R1.
Max output↑ better
32k
Winner33k
DeepSeek R1
DeepSeek R1 wins this row (32768 vs 32000).
Input price↓ better
$8.00 / 1M tokens
Winner$0.55 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~14.5× lower on this price row).
Output price↓ better
$40.00 / 1M tokens
Winner$2.19 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~18.3× lower on this price row).
Blended price↓ better
$16.00 / 1M tokens
Winner$0.96 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~16.7× lower on this price row).
License
Proprietary
Open source
Qualitative / categorical row
Input modalities
text, image
text
Qualitative / categorical row
Output modalities
text
text
Qualitative / categorical row

Pricing comparison

API cost is often the deciding factor in Claude 4 Opus vs DeepSeek R1 for high-volume apps. Figures below use catalog list prices with a 3:1 input:output blend for monthly estimates. Cached input, batch, and realtime surcharges vary by provider — confirm on official docs.

API costClaude 4 OpusDeepSeek R1
Input / 1M tokens$8.00$0.55
Output / 1M tokens$40.00$2.19
Blended (3:1) / 1M$16.00$0.96
Est. cost @ 1M blended tokens$16.00$0.96
Est. cost @ 10M blended tokens$160.00$9.60
Est. cost @ 100M blended tokens$1600.00$96.00

Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.

Benchmark showdown

MMLU
Claude 4 Opus
90.0
DeepSeek R1
87.1
MMLU Pro
Claude 4 Opus
79.5
DeepSeek R1
75.9
GPQA
Claude 4 Opus
65.0
DeepSeek R1
71.5
MATH
Claude 4 Opus
88.0
DeepSeek R1
90.2
HumanEval
Claude 4 Opus
95.8
DeepSeek R1
91.0

Claude 4 Opus leads on MMLU, MMLU Pro, and HumanEval, indicating stronger coding and reasoning-oriented scores. DeepSeek R1 leads on GPQA and MATH. DeepSeek R1 remains attractive for production deployments on price. Raw benchmarks shortlist models — run task-specific evals before you switch.

Real-world performance

Beyond academic scores, here is how Claude 4 Opus vs DeepSeek R1 tends to split common product tasks based on catalog strengths, price, and modalities.

TaskWinner
CodingClaude 4 Opus
Blog writingClaude 4 Opus
ResearchClaude 4 Opus
Customer supportDeepSeek R1
Cheap API / high volumeDeepSeek R1
AI agentsClaude 4 Opus
SummarizationClaude 4 Opus
TranslationClaude 4 Opus
Vision / multimodalClaude 4 Opus
Self-hosting / open weightsDeepSeek R1

Technical differences

FeatureClaude 4 OpusDeepSeek R1
ProviderAnthropicDeepSeek
LicenseProprietaryOpen source
Pricing modeltokenstokens
Context window500k tokens128k tokens
Max output32k tokens33k tokens
Vision inputYesNo
Audio inputNoNo
Text outputYesYes
Image outputNoNo
Video outputNoNo
Audio outputNoNo
Self-host friendlyNoYes
DocsAvailableAvailable

Strengths, weaknesses and best-for

Claude 4 Opus
Strengths
  • Top HumanEval
  • Long, coherent outputs
  • 500k context
Weaknesses
  • Slower than Sonnet
  • Premium price
Best for
  • Long-context coding
  • Tool-using agents
  • Document understanding
DeepSeek R1
Strengths
  • Reasoning at GPT-class scores
  • Open weights
  • Cheap
Weaknesses
  • Slower than non-reasoning peers
Best for
  • Self-hosted reasoning
  • Math & code
  • Cost-sensitive agents

Who should choose which

Choose Claude 4 Opus if

  • You need stronger reasoning, coding, or math quality
  • You need a larger context window
  • Long-context coding
  • Tool-using agents

Choose DeepSeek R1 if

  • You need stronger reasoning, coding, or math quality
  • You care about faster token throughput
  • API budget is the top constraint
  • You want open weights / self-hosting
  • Self-hosted reasoning

Pros & cons

Claude 4 Opus

Pros

  • Top HumanEval
  • Long, coherent outputs
  • 500k context

Cons

  • Slower than Sonnet
  • Premium price

DeepSeek R1

Pros

  • Reasoning at GPT-class scores
  • Open weights
  • Cheap

Cons

  • Slower than non-reasoning peers

Editorial verdict

DeepSeek R1 edges this matchup — with caveats

DeepSeek R1 is the better choice when you prioritize math, speed, price, and open source. Claude 4 Opus stands out for reasoning, coding, and context, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, DeepSeek R1 wins this matchup. If your niche constraints matter more, Claude 4 Opus is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.

Still deciding? Read the full Claude 4 Opus review and DeepSeek R1 review, or open the full AI models table.

Claude 4 Opus vs DeepSeek R1 — frequently asked questions

On our scorecard, DeepSeek R1 wins overall (leads on Math, Speed, Price, and Open source). The “better” model still depends on your workload — validate with your own evals.

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