Claude Haiku 4.5 vs Gemini 3.1 Pro
Pricing & Specs
Anthropic vs Google (Gemini), side by side from a live registry. Specs below, then benchmark both on your own task.
TL;DR: On a typical task (1K input + 500 output tokens), Claude Haiku 4.5 is about 2.3x cheaper than Gemini 3.1 Pro. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.
API Pricing: Claude Haiku 4.5 vs Gemini 3.1 Pro
| Tokens | Claude Haiku 4.5 | Gemini 3.1 Pro |
|---|---|---|
| Input | $1 / 1M | $2 / 1M |
| Output | $5 / 1M | $12 / 1M |
| Cached input | $0.1 / 1M | $0.2 / 1M |
What that means in practice (1K input + 500 output tokens)
Specs Compared
| Spec | Claude Haiku 4.5 | Gemini 3.1 Pro |
|---|---|---|
| Context window | 200K tokens | 1.04858M tokens |
| Max output tokens | 64K tokens | 65.536K tokens |
| Input modalities | text, image | text, image, video, audio, PDF |
| Knowledge cutoff | - | - |
| Latency (measured) | ~847ms median response | - |
| Reasoning model | Yes | Yes |
| Tool / function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | Yes |
When to Choose Which
FAQ
Which is cheaper, Claude Haiku 4.5 or Gemini 3.1 Pro?
Claude Haiku 4.5 costs $1/$5 per 1M input/output tokens; Gemini 3.1 Pro costs $2/$12. On a typical task (1K input + 500 output tokens), Claude Haiku 4.5 is about 2.3x cheaper than Gemini 3.1 Pro.
Which has the bigger context window, Claude Haiku 4.5 or Gemini 3.1 Pro?
Claude Haiku 4.5 has a 200K-token context window; Gemini 3.1 Pro has 1.04858M tokens.
Is Claude Haiku 4.5 better than Gemini 3.1 Pro?
It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark Claude Haiku 4.5 and Gemini 3.1 Pro head to head on your own task with real API calls, no API keys needed, free tier available.
Claude Haiku 4.5 or Gemini 3.1 Pro for YOUR Task?
Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.