CrossModel
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Context, limits, capabilities, price and use cases side by side — up to 4 models at a time. The URL holds your selection, so you can share it.

Claude Sonnet 4.6Claude Sonnet 5Claude Haiku 5.5Chat with these 3
AttributeClaude Sonnet 4.6anthropic/claude-sonnet-4-6Claude Sonnet 5anthropic/claude-sonnet-5Claude Haiku 5.5anthropic/claude-haiku-5-5
Specs
Context window1M1M1M
Max output128K128K128K
Input modalitiesTextImageTextImageTextImage
Output modalitiesTextTextText
Capabilities
StreamingSupportedSupportedSupported
Tool callingSupportedSupportedSupported
Structured output (JSON)SupportedSupportedSupported
Image inputSupportedSupportedSupported
Thinking modeSupportedSupportedSupported
Price / 1M tokens
Input$ 3.00$ 2.00$ 0.10>= 100K$ 0.50
Output$ 15.00$ 10.00$ 0.50>= 100K$ 2.50
Cache read$ 0.30$ 0.20$ 0.010>= 100K$ 0.050
Cache write$ 3.75$ 2.50$ 0.13>= 100K$ 0.63
What it is good at
Best for
  • Agentic coding
  • Long-context work
  • Agentic coding
  • High-volume agent workloads
  • High-volume, latency-bound calls
  • Subagent for coding agents
  • Computer and browser use
Published benchmarks
FrontierCode v1.1 (Main)score——
  • 46.4%effort max · Claude Code(setup not fully disclosed)
Terminal-Bench 2.0pass_rate
  • 59.1%(setup not fully disclosed)
——
Terminal-Bench 2.1pass_rate—
  • 80.4%(setup not fully disclosed)
—
Terminal-Bench 4.0pass_rate——
  • 39.2%effort max · Claude Code(setup not fully disclosed)
BrowseComp (with tools)accuracy
  • 74.7%(setup not fully disclosed)
——
SWE-Bench Proresolved_ratesetups differ by: reasoning—
  • 63.2%(setup not fully disclosed)
  • 64.8%effort max(setup not fully disclosed)
SWE-Bench Verifiedresolved_rate
  • 79.6%(setup not fully disclosed)
——
OSWorld 2.1 (offline subset, partial score)score——
  • 72.4%effort max(setup not fully disclosed)
OSWorld-Verifiedsuccess_rate
  • 78.5%(setup not fully disclosed)
  • 81.2%(setup not fully disclosed)
—
AA-Briefcase v1.1score——
  • 1578effort max(setup not fully disclosed)
GDPval-AAelo
  • 1633(setup not fully disclosed)
——
GDPval-AA v2elo—
  • 1618(setup not fully disclosed)
—
GDPval-AA v2.1elo——
  • 1620effort max(setup not fully disclosed)
MMMLUaccuracy
  • 89.3%(setup not fully disclosed)
——
Chartography (no tools)score——
  • 46.4%effort max(setup not fully disclosed)
MMMU Pro (no tools)accuracy
  • 74.5%(setup not fully disclosed)
——
ARC-AGI-2score
  • 58.3%(setup not fully disclosed)
——
Humanity's Last Examaccuracysetups differ by: reasoning
  • 34.6%(setup not fully disclosed)
  • 43.2%(setup not fully disclosed)
  • 45.9%effort max(setup not fully disclosed)
Humanity's Last Exam (with tools)accuracysetups differ by: reasoning
  • 46.8%(setup not fully disclosed)
  • 57.4%(setup not fully disclosed)
  • 57.4%effort max(setup not fully disclosed)
GPQA Diamondaccuracy
  • 89.9%(setup not fully disclosed)
——