Verified October 2026

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Claude Haiku 4.5 vs Grok 4.6

A straight cost comparison of Claude Haiku 4.5 (Anthropic) and Grok 4.6 (xAI Grok), per 1,000,000 tokens, verified October 2026.

$1Claude Haiku 4.5 input / 1M
$2Grok 4.6 input / 1M
36%Blended price gap
Claude Haiku 4.5Cheaper blended

Rate-by-rate comparison

USD per 1M tokens · October 2026
MetricClaude Haiku 4.5Grok 4.6Winner
Input / 1M$1$2Claude Haiku 4.5
Cached input / 1M$0.10$0.50Claude Haiku 4.5
Cache write / 1M$1.25—Grok 4.6
Output / 1M$5$6Claude Haiku 4.5
Context window200,000500,000Grok 4.6
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$2.25Cheaper
Grok 4.6$3.50+$1.25

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadClaude Haiku 4.5Grok 4.6Winner
Classification
100K reqs · 500 in / 10 out
$55$106Claude Haiku 4.5
Data extraction
10K reqs · 2K in / 200 out
$30$52Claude Haiku 4.5
Support chat
1K reqs · 4K in / 600 out
$7$11.60Claude Haiku 4.5
Code review
2K reqs · 8K in / 1.5K out
$31$50Claude Haiku 4.5
Summarisation
1K reqs · 20K in / 1K out
$25$46Claude Haiku 4.5
Agent loop
5K reqs · 12K in / 2K out
$110$180Claude Haiku 4.5
Translation
500 reqs · 15K in / 15K out
$45$60Claude Haiku 4.5
Long-document QA
200 reqs · 120K in / 800 out
$24.80$48.96Claude Haiku 4.5
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$14.55$38.57Claude Haiku 4.5
Nightly batch
10K reqs · 10K in / 2K out
$100$160Claude Haiku 4.5

Claude Haiku 4.5 wins 10 of 10, Grok 4.6 wins 0 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

Claude Haiku 4.5 is cheaper on both sides of the mix: $1 vs $2 per million input tokens, and $5 vs $6 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthClaude Haiku 4.5Grok 4.6Difference
100$0.70$1.16Claude Haiku 4.5 cheaper by $0.46
1,000$7$11.60Claude Haiku 4.5 cheaper by $4.60
10,000$70$116Claude Haiku 4.5 cheaper by $46
100,000$700$1,160Claude Haiku 4.5 cheaper by $460

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptClaude Haiku 4.5Grok 4.6Winner
0%$7$11.60Claude Haiku 4.5
50%$5.20$8.60Claude Haiku 4.5
80%$4.12$6.80Claude Haiku 4.5
95%$3.58$5.91Claude Haiku 4.5

Both models publish a cached-read rate, so the discount is comparable: Claude Haiku 4.5 reads cache at $0.10 per million, Grok 4.6 at $0.50.

Which one should you pick?

Claude Haiku 4.5 wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag, nightly batch, while Grok 4.6 wins on none of the ten workloads above.

Beyond price, the two differ on input rate ($1 vs $2); output rate ($5 vs $6); cached-input rate ($0.10 vs $0.50); cache-write rate ($1.25 vs —); context window (200,000 vs 500,000); long-context tier (none vs yes, above 200,000).

Batch mode is available on Claude Haiku 4.5 and Grok 4.6, 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 4.6?

On a blended 1M-input-plus-250K-output workload, Claude Haiku 4.5 is cheaper by 36% ($2.25 vs $3.50). 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 4.6?

Grok 4.6 has the larger context window (500,000 vs 200,000 tokens). Watch the long-context threshold on Grok 4.6: 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 4.6 at $0.50.

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