Verified October 2026

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Claude Haiku 4.5 vs Grok 4.3

A straight cost comparison of Claude Haiku 4.5 (Anthropic) and Grok 4.3 (xAI Grok), per 1,000,000 tokens, verified October 2026.

$1Claude Haiku 4.5 input / 1M
$1.25Grok 4.3 input / 1M
17%Blended price gap
Grok 4.3Cheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricClaude Haiku 4.5Grok 4.3Winner
Input / 1M$1$1.25Claude Haiku 4.5
Cached input / 1M$0.10$0.20Claude Haiku 4.5
Cache write / 1M$1.25—Grok 4.3
Output / 1M$5$2.50Grok 4.3
Context window200,0001,000,000Grok 4.3
Batch APIYesYesTie
Long-context tierNone> 200,000—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
Claude Haiku 4.5$2.25+$0.375
Grok 4.3$1.88Cheaper

Three workloads, two bills

WorkloadClaude Haiku 4.5Grok 4.3Winner
Support chat
1,000 requests · 4K input / 600 output
$7$6.50Grok 4.3
RAG with caching
1,000 requests · 50K input (45K cached) / 1K output
$14.55$17.80Claude Haiku 4.5
Nightly batch job
10,000 requests · 10K input / 2K output
$100$87.50Grok 4.3

Which one should you pick?

Claude Haiku 4.5 wins on cached RAG, while Grok 4.3 wins on support chat, nightly batch job.

Beyond price, the two differ on input rate ($1 vs $1.25); output rate ($5 vs $2.50); cached-input rate ($0.10 vs $0.20); cache-write rate ($1.25 vs —); context window (200,000 vs 1,000,000); long-context tier (none vs yes, above 200,000).

Batch mode is available on Claude Haiku 4.5 and Grok 4.3, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Claude Haiku 4.5 cheaper than Grok 4.3?

On a blended 1M-input-plus-250K-output workload, Grok 4.3 is cheaper by 17% ($1.88 vs $2.25). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Claude Haiku 4.5 or Grok 4.3?

Claude Haiku 4.5 has the larger context window (1,000,000 vs 200,000 tokens). Watch the long-context threshold on Grok 4.3: rates rise once input passes it.

Do both models support prompt caching?

Claude Haiku 4.5 bills cached reads at $0.10 per 1M; Grok 4.3 at $0.20.

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