Comparaison de modeles

Granite 4.0 Micro vs Anthropic Claude Haiku Latest

Compare IBM: Granite 4.0 Micro (OpenRouter) and Anthropic Claude Haiku Latest (OpenRouter) by price, context, capabilities, and latency.

Lequel choisir ?

  • Price: IBM: Granite 4.0 Micro is cheaper ($0.0043 / 1M tokens input / $0.022 / 1M tokens output) vs Anthropic Claude Haiku Latest ($0.188 / 1M tokens input / $0.94 / 1M tokens output).
  • Context: Anthropic Claude Haiku Latest has the larger context window (200k tokens).
  • Anthropic Claude Haiku Latest adds: Tool calling, Vision.

Cote a cote

IBM: Granite 4.0 Micro vs Anthropic Claude Haiku Latest — comparaison complete

Comparez le prix, le fournisseur, le contexte, les capacites, la latence et la base de source.

ModelProviderInputOutputContextCapabilitiesBest forLatencyStatusSource
IBM: Granite 4.0 Microibm-granite/granite-4.0-h-microOpenRouter$0.0043 / 1M tokens$0.022 / 1M tokens131k
StreamingJSON modeLong context
General chat via OpenRouter, API workloads1000-3000msCatalogPlatform curated
Anthropic Claude Haiku Latest~anthropic/claude-haiku-latestOpenRouter$0.188 / 1M tokens$0.94 / 1M tokens200k
StreamingTool callingJSON modeVision
image understanding, multimodal chat1000-3000msCatalogPlatform curated

FAQ

IBM: Granite 4.0 Micro vs Anthropic Claude Haiku Latest FAQ

Is IBM: Granite 4.0 Micro or Anthropic Claude Haiku Latest cheaper?

IBM: Granite 4.0 Micro is cheaper ($0.0043 / 1M tokens input / $0.022 / 1M tokens output) vs Anthropic Claude Haiku Latest ($0.188 / 1M tokens input / $0.94 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.

Which has a larger context window, IBM: Granite 4.0 Micro or Anthropic Claude Haiku Latest?

Anthropic Claude Haiku Latest is larger (200k tokens) vs 131k tokens.

IBM: Granite 4.0 Micro vs Anthropic Claude Haiku Latest for Long context: which should I pick?

Both target Long context. Pick IBM: Granite 4.0 Micro to optimize cost, or Anthropic Claude Haiku Latest for the longer context window. Test both on real prompts before committing production traffic.