Head-to-head · multimodal vs multimodal

Claude Haiku 4.5 Reasoning vs Grok 3: which model should you choose?

We compared Claude Haiku 4.5 Reasoning and Grok 3 on price, context window and 12 benchmarks. Grok 3 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
xAI

Grok 3

Grok 3 is a multimodal model from xAI. It offers a 128,000-token context window, costs $15.84 per million input tokens and $70.31 per million output tokens, and averages 82.8 across the index's benchmark suite.

Input
$15.84 / 1M
Output
$70.31 / 1M
Context
128,000
Avg score
82.8
Open weights
No
Full Grok 3 page

Specification comparison

SpecClaude Haiku 4.5 ReasoningGrok 3Edge
Input price / 1M$15.11$15.84A
Output price / 1M$70.05$70.31A
Context window128,000128,000Tie
Max output128,0004,096A
Average score81.482.8B
Arena Elo1444.21447.2B
Open weightsNoNoTie

Benchmark comparison

Claude Haiku 4.5 Reasoning wins 2, Grok 3 wins 10, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Haiku 4.5 ReasoningGrok 3GapWinner
MMLU-Pro83.481.91.5Claude Haiku 4.5 Reasoning
GPQA Diamond74.680.05.4Grok 3
SWE-bench Verified69.672.63.0Grok 3
HumanEval88.785.33.4Claude Haiku 4.5 Reasoning
MATH-50085.888.72.9Grok 3
AIME 202579.081.12.1Grok 3
LiveCodeBench73.874.30.5Grok 3
IFEval89.991.01.1Grok 3
TruthfulQA82.585.42.9Grok 3
HellaSwag90.991.40.5Grok 3
MMMU76.779.12.4Grok 3
Arena Elo1444.21447.23.0Grok 3

Price analysis

On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Reasoning costs about $28.84 per million tokens and Grok 3 costs about $29.46. Claude Haiku 4.5 Reasoning is roughly 2% cheaper than Grok 3. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Haiku 4.5 Reasoning wins 2, Grok 3 wins 10, and 0 are tied. On the index average, Grok 3 leads Claude Haiku 4.5 Reasoning by 1.4 points (82.8 versus 81.4).

The price picture favours Claude Haiku 4.5 Reasoning. The context picture is effectively a tie. 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 Grok 3 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.

Choose Grok 3 if

  • You want the higher average benchmark score in this index.

FAQ

Is Claude Haiku 4.5 Reasoning better than Grok 3?

On the index average, Grok 3 leads Claude Haiku 4.5 Reasoning by 1.4 points (82.8 versus 81.4). The better choice depends on price, context and your task. Claude Haiku 4.5 Reasoning wins 2 benchmarks, Grok 3 wins 10.

Which is cheaper, Claude Haiku 4.5 Reasoning or Grok 3?

Claude Haiku 4.5 Reasoning is cheaper on a blended 3:1 basis at about $28.84 per million tokens, versus $29.46 for Grok 3.

Which has the larger context window?

Both models list a 128,000-token context window.

Are these models open weights?

Claude Haiku 4.5 Reasoning is proprietary; Grok 3 is proprietary.

Which should I choose for production?

If you need a single default, start with Grok 3 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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