Head-to-head · multimodal vs multimodal

Claude Haiku 4.5 Reasoning vs GPT-4.1 Vision: which model should you choose?

We compared Claude Haiku 4.5 Reasoning and GPT-4.1 Vision on price, context window and 12 benchmarks. GPT-4.1 Vision has the stronger average benchmark score; Claude Haiku 4.5 Reasoning is cheaper on a blended 3:1 basis.

Anthropic

Claude Haiku 4.5 Reasoning

Claude Haiku 4.5 Reasoning is a multimodal model from Anthropic. It offers a 128,000-token context window, costs $15.11 per million input tokens and $70.05 per million output tokens, and averages 81.4 across the index's benchmark suite.

Input
$15.11 / 1M
Output
$70.05 / 1M
Context
128,000
Avg score
81.4
Open weights
No
Full Claude Haiku 4.5 Reasoning page
OpenAI

GPT-4.1 Vision

GPT-4.1 Vision is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $14.88 per million input tokens and $81.24 per million output tokens, and averages 82.0 across the index's benchmark suite.

Input
$14.88 / 1M
Output
$81.24 / 1M
Context
1,000,000
Avg score
82.0
Open weights
No
Full GPT-4.1 Vision page

Specification comparison

SpecClaude Haiku 4.5 ReasoningGPT-4.1 VisionEdge
Input price / 1M$15.11$14.88B
Output price / 1M$70.05$81.24A
Context window128,0001,000,000B
Max output128,0008,192A
Average score81.482.0B
Arena Elo1444.21451.8B
Open weightsNoNoTie

Benchmark comparison

Claude Haiku 4.5 Reasoning wins 4, GPT-4.1 Vision wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Haiku 4.5 ReasoningGPT-4.1 VisionGapWinner
MMLU-Pro83.484.00.6GPT-4.1 Vision
GPQA Diamond74.679.34.7GPT-4.1 Vision
SWE-bench Verified69.672.42.8GPT-4.1 Vision
HumanEval88.786.81.9Claude Haiku 4.5 Reasoning
MATH-50085.887.51.7GPT-4.1 Vision
AIME 202579.077.21.8Claude Haiku 4.5 Reasoning
LiveCodeBench73.874.30.5GPT-4.1 Vision
IFEval89.988.71.2Claude Haiku 4.5 Reasoning
TruthfulQA82.584.41.9GPT-4.1 Vision
HellaSwag90.989.71.2Claude Haiku 4.5 Reasoning
MMMU76.777.50.8GPT-4.1 Vision
Arena Elo1444.21451.87.6GPT-4.1 Vision

Price analysis

On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Reasoning costs about $28.84 per million tokens and GPT-4.1 Vision costs about $31.47. Claude Haiku 4.5 Reasoning is roughly 8% cheaper than GPT-4.1 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-4.1 Vision has the larger context window at 1,000,000 tokens, compared with 128,000 for Claude Haiku 4.5 Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Haiku 4.5 Reasoning wins 4, GPT-4.1 Vision wins 8, and 0 are tied. On the index average, GPT-4.1 Vision leads Claude Haiku 4.5 Reasoning by 0.6 points (82.0 versus 81.4).

The price picture favours Claude Haiku 4.5 Reasoning. The context picture favours GPT-4.1 Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with GPT-4.1 Vision for quality-sensitive work and Claude Haiku 4.5 Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude Haiku 4.5 Reasoning if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 128,000-token output limit.
  • The workload needs multi-step reasoning.

Choose GPT-4.1 Vision if

  • You want the higher average benchmark score in this index.
  • You need the larger 1,000,000-token context window.

FAQ

Is Claude Haiku 4.5 Reasoning better than GPT-4.1 Vision?

On the index average, GPT-4.1 Vision leads Claude Haiku 4.5 Reasoning by 0.6 points (82.0 versus 81.4). The better choice depends on price, context and your task. Claude Haiku 4.5 Reasoning wins 4 benchmarks, GPT-4.1 Vision wins 8.

Which is cheaper, Claude Haiku 4.5 Reasoning or GPT-4.1 Vision?

Claude Haiku 4.5 Reasoning is cheaper on a blended 3:1 basis at about $28.84 per million tokens, versus $31.47 for GPT-4.1 Vision.

Which has the larger context window?

GPT-4.1 Vision has the larger context window at 1,000,000 tokens. Claude Haiku 4.5 Reasoning has 128,000 tokens.

Are these models open weights?

Claude Haiku 4.5 Reasoning is proprietary; GPT-4.1 Vision is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-4.1 Vision for quality-sensitive work and Claude Haiku 4.5 Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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