Popular Comparisons:
⚡3-Second Selection Verdict
Daily & TestsPick Hunyuan Hy4 (Save 83% · $66.66/mo)

Monthly savings assume 10M input + 2M output tokens/month at our price snapshot. Change usage ↓

TencentVerified

Hunyuan Hy4

★ Save 83% ★ Massive Context 1.0M
Input$0.83 / 1M
Output$2.50 / 1M
Context1.0M
CursorBench Pass Rate—
AnthropicVerified

Claude Opus 5.5

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)

Hunyuan Hy4$13.34
Claude Opus 5.5$80.00

Context capacity · tokens (not recall accuracy)

Hunyuan Hy41,048,576
Claude Opus 5.51,000,000

CursorBench 4.0 · %

Hunyuan Hy4No verified data
Claude Opus 5.557.8%

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

CursorBench · 2026-11-14 ↗
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 ModelHunyuan Hy4 vs Claude Opus 5.5
Slot 1Tencent
Slot 2Anthropic
Slot 3
Hunyuan Hy4 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
Hunyuan Hy4
$13.34/ mo
(in: $8.34 + out: $5.00)
Claude Opus 5.5
$80.00/ mo
(in: $40.00 + out: $40.00)
AttributeHunyuan Hy4TencentClaude Opus 5.5Anthropic
Input$0.83$4.00
Output$2.50$20.00
Context1.0M1M
CursorBench Pass Rate—57.8%
StatusVerifiedVerified
Tags & CapabilitiesNew, Flagship, Coding, Reasoning, Multimodal, Agentic, Long context, MoE, ChineseNew, Flagship, Reasoning, Coding, Agentic, Adaptive thinking, SOTA
LMArena Code#23#2
LMArena Agent#15#2
CursorBench—#3
GDPx (SemiAnalysis)—#2
Artificial Analysis#16#3
Vals AI#16#4
LiveBench—#5
LMArena Text—#4
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