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Anthropic Claude Haiku 4.5 VS Google Gemini 3.1 Pro Preview

Claude Haiku 4.5 vs Gemini 3.1 Pro Preview: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

Gemini 3.1 Pro Preview wins 21 of 22 task areas we tested; Claude Haiku 4.5 takes 1. Claude Haiku 4.5 costs 2.3× less per token ($6 vs $14 per 1M).

1
Task areas won
21
37
Avg percentile
82
0
Top-3 finishes
1
$6.0
Price / 1M tokens
$14.0
Anthropic
Provider
Google

Claude Haiku 4.5 costs 2.3× less per token ($6 vs $14 per 1M).

Task by task

Task area Claude Haiku 4.5 Gemini 3.1 Pro Preview Winner
Chef / Home Cooking #113 / 126
Needs editing
#6 / 126
Strong
Gemini 3.1 Pro Preview
Customer Support #99 / 113
Usable
#2 / 113
Strong
Gemini 3.1 Pro Preview
Structured Output #109 / 113
Usable
#15 / 113
Excellent
Gemini 3.1 Pro Preview
RAG, Safety & Grounding #97 / 113
Strong
#8 / 113
Excellent
Gemini 3.1 Pro Preview
Creative & Comedy #84 / 110 #4 / 110 Gemini 3.1 Pro Preview
Content & Brand #89 / 124
Usable
#11 / 124
Strong
Gemini 3.1 Pro Preview
Presentations & Decks #88 / 110
Strong
#24 / 110
Excellent
Gemini 3.1 Pro Preview
Executive Assistant #73 / 112
Strong
#14 / 112
Strong
Gemini 3.1 Pro Preview
AI Strategy #91 / 126
Strong
#33 / 126
Strong
Gemini 3.1 Pro Preview
Knowledge & Docs #71 / 110
Usable
#19 / 110
Strong
Gemini 3.1 Pro Preview
Investor & Pitch #63 / 66
Needs editing
#13 / 66
Strong
Gemini 3.1 Pro Preview
Sales #80 / 110
Usable
#32 / 110
Strong
Gemini 3.1 Pro Preview
Landing Pages #61 / 72
Usable
#14 / 72
Strong
Gemini 3.1 Pro Preview
Training & Education #36 / 110
Excellent
#4 / 110
Excellent
Gemini 3.1 Pro Preview
Legal & HR #48 / 110
Excellent
#17 / 110
Excellent
Gemini 3.1 Pro Preview
Coding #94 / 115
Usable
#64 / 115
Strong
Gemini 3.1 Pro Preview
Frontend & Landing Pages #7 / 109
Usable
#34 / 109
Needs editing
Claude Haiku 4.5
Summarization & Meeting Notes #27 / 110
Excellent
#4 / 110
Excellent
Gemini 3.1 Pro Preview
Research & Competitive Analysis #59 / 110
Usable
#42 / 110
Strong
Gemini 3.1 Pro Preview
Data & Analytics #53 / 110
Excellent
#39 / 110
Excellent
Gemini 3.1 Pro Preview
Product & Project Management #38 / 110
Strong
#25 / 110
Excellent
Gemini 3.1 Pro Preview
Translation & Localization #27 / 110
Excellent
#14 / 110
Excellent
Gemini 3.1 Pro Preview

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Same task, both models — judged

Both models answered the same test case; an independent judge graded each. Quotes are the judge's actual rationale.

Customer Support

Shipping delay (Basic Support Reply Test)
Claude Haiku 4.5 37/100

“The model failed the negative constraint by inventing refund and replacement policies not provided in the prompt. It also included meta-commentary at the end, violating the requirement to produce a ready-to-use answer.”

Gemini 3.1 Pro Preview 91/100

“The response perfectly follows the negative constraint by avoiding any invented delivery dates. It includes strong empathy, clear tracking instructions, and a logical escalation path, making it an excellent, production-ready template.”

Frequently asked

Is Claude Haiku 4.5 better than Gemini 3.1 Pro Preview?

Across 22 task areas we benchmarked, Gemini 3.1 Pro Preview ranks higher in 21 and Claude Haiku 4.5 in 1.

Which is cheaper, Claude Haiku 4.5 or Gemini 3.1 Pro Preview?

Claude Haiku 4.5 costs 2.3× less per token ($6 vs $14 per 1M).

What is Claude Haiku 4.5 better at?

Claude Haiku 4.5 out-ranks Gemini 3.1 Pro Preview at Frontend & Landing Pages.

What is Gemini 3.1 Pro Preview better at?

Gemini 3.1 Pro Preview out-ranks Claude Haiku 4.5 at Chef / Home Cooking, Customer Support, Structured Output.

Full Claude Haiku 4.5 review → Full Gemini 3.1 Pro Preview review → Full model leaderboard → Anthropic vs Google — every model, lab against lab →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s