Model comparison
Claude 3 Haiku vs Grok 4.1 Fast
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 3 Haiku #194 (Supported); Grok 4.1 Fast #107 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 3 Haiku and Grok 4.1 Fast share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 3 Haiku; 1 to Grok 4.1 Fast.
Updated July 20, 2026- Shared results
- 12
- Claude 3 Haiku only
- 0
- Grok 4.1 Fast only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Claude 3 Haiku and Grok 4.1 Fast is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude 3 Haiku is priced at $0.25 input / $1.25 output per 1M tokens, versus $0.20 input / $0.50 output per 1M tokens for Grok 4.1 Fast. Grok 4.1 Fast has the larger context window at 1M, compared with 200K for Claude 3 Haiku.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 3 Haiku | Grok 4.1 Fast | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 3 Haiku$0.25 input / $1.25 output | Grok 4.1 Fast$0.2 input / $0.5 output | Grok 4.1 Fast has the lower combined listed price. |
| Generation speedtokens per second | Claude 3 Haiku138 tok/s | Grok 4.1 Fast138 tok/s | Measured throughput is equal. |
| First-answer latencyseconds to first token | Claude 3 Haiku1.16 s | Grok 4.1 Fast0.54 s | Grok 4.1 Fast reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude 3 Haiku200K | Grok 4.1 Fast1M | Grok 4.1 Fast lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | Claude 3 Haiku | Grok 4.1 Fast | Result |
|---|---|---|---|
| AA-SciCodeSource | 18.6% | 29.6% | Grok 4.1 Fast leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 3 Haiku | Grok 4.1 Fast | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 3.9% | 16.9% | Grok 4.1 Fast leads |
| AA-GPQA DiamondSource | 37.4% | 63.7% | Grok 4.1 Fast leads |
| AA-HLESource | 3.9% | 5.0% | Grok 4.1 Fast leads |
| AA-Omniscience IndexSource | -47.6% | -50.9% | Claude 3 Haiku leads |
| AA-Omniscience AccuracySource | 17.2% | 17.0% | Claude 3 Haiku leads |
| AA-Omniscience Hallucination RateSource | 78.2% | 81.8% | Claude 3 Haiku leads |
Multimodal1 benchmarks
| Benchmark | Claude 3 Haiku | Grok 4.1 Fast | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 30.8% | 48.4% | Grok 4.1 Fast leads |
Inst. Following1 benchmarks
| Benchmark | Claude 3 Haiku | Grok 4.1 Fast | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.1% | 36.5% | Grok 4.1 Fast leads |
Frequently Asked Questions (3)
Can I compare Claude 3 Haiku and Grok 4.1 Fast on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude 3 Haiku and Grok 4.1 Fast today?
Claude 3 Haiku: $0.25 input / $1.25 output per 1M tokens Grok 4.1 Fast: $0.20 input / $0.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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