Popular Comparisons:
⚡3-Second Selection Verdict
Daily & TestsPick DeepSeek-R1 (Open Reasoning) (Save 88%)
DeepSeekVerified

DeepSeek-R1 (Open Reasoning)

★ Save 88%
Input$0.55 / 1M
Output$2.19 / 1M
Context131K
CursorBench Pass Rate—
AnthropicVerified

Claude Opus 5.5

★ Massive Context 1M
Input$4.00 / 1M
Output$20.00 / 1M
Context1M
CursorBench Pass Rate57.8%

Pick your workflow, then your budget

Estimates use our price snapshot, excluding cache, retries, taxes and tools. Check availability for preview and legacy models.

Workload cost · USD (lower costs less)

DeepSeek-R1 (Open Reasoning)$9.88
Claude Opus 5.5$80.00

Context capacity · tokens (not recall accuracy)

DeepSeek-R1 (Open Reasoning)131,072
Claude Opus 5.51,000,000

CursorBench 4.0 · %

DeepSeek-R1 (Open Reasoning)No verified data
Claude Opus 5.557.8%

Tool reliability, long-context recall and same-harness SWE-bench: untested, not zero.

CursorBench · 2026-09-22 ↗
Patch review example: why does an empty array slip through?

Editorial example, not measured model output. Review boundary contracts and regression tests; this is not a model ranking.

export function mean(values: number[]) {
  return values.reduce((a, b) => a + b, 0)
    / values.length;
}

// mean([]) => NaN
// Missing an explicit empty-input contract
⚙️ Select ModelDeepSeek-R1 (Open Reasoning) vs Claude Opus 5.5
Slot 1DeepSeek
Slot 2Anthropic
Slot 3
DeepSeek-R1 (Open Reasoning) VS Claude Opus 5.5
💳 View Plans↗

💰 Monthly Cost Simulation

Simulate monthly cost differences based on your estimated token usage volume

Monthly Input Tokens (Prompt)10 M tokens
Monthly Output Tokens (Completion)2 M tokens
DeepSeek-R1 (Open Reasoning)
$9.88/ mo
(in: $0.55 + out: $2.19)
Claude Opus 5.5
$80.00/ mo
(in: $4 + out: $20)
AttributeDeepSeek-R1 (Open Reasoning)DeepSeekClaude Opus 5.5Anthropic
Input$0.55$4.00
Output$2.19$20.00
Context131K1M
CursorBench Pass Rate—57.8%
StatusVerifiedVerified
Tags & CapabilitiesReasoning, Open source, RL alignment, DeepSeek, Math & codeNew, Flagship, Reasoning, Coding, Agentic, Adaptive thinking, SOTA
LMArena Code#—#1
LMArena Agent#—#1
CursorBench#—#1
Artificial Analysis#66#1
Vals AI#—#3
LiveBench#—#2
LMArena Text#56#2
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