Model comparison
Claude 3 Haiku vs GLM-4.5-Air
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 3 Haiku #194 (Supported); GLM-4.5-Air #133 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 3 Haiku and GLM-4.5-Air share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Claude 3 Haiku; 1 to GLM-4.5-Air.
Updated July 22, 2026- Shared results
- 11
- Claude 3 Haiku only
- 1
- GLM-4.5-Air only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Claude 3 Haiku and GLM-4.5-Air is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 / $1.10 output per 1M tokens for GLM-4.5-Air. Claude 3 Haiku has the larger context window at 200K, compared with 128K for GLM-4.5-Air.
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 | GLM-4.5-Air | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 3 Haiku$0.25 input / $1.25 output | GLM-4.5-Air$0.2 input / $1.1 output | GLM-4.5-Air has the lower combined listed price. |
| Generation speedtokens per second | Claude 3 Haiku138 tok/s | GLM-4.5-Air106 tok/s | Claude 3 Haiku has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude 3 Haiku1.16 s | GLM-4.5-Air1.18 s | Claude 3 Haiku reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude 3 Haiku200K | GLM-4.5-Air128K | Claude 3 Haiku lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude 3 Haiku | GLM-4.5-Air | Result |
|---|---|---|---|
| τ²-bench resultsSource | 21.1% | 46.5% | GLM-4.5-Air leads |
Coding1 benchmarks
| Benchmark | Claude 3 Haiku | GLM-4.5-Air | Result |
|---|---|---|---|
| AA-SciCodeSource | 18.6% | 30.6% | GLM-4.5-Air leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 3 Haiku | GLM-4.5-Air | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 3.9% | 16.5% | GLM-4.5-Air leads |
| AA-GPQA DiamondSource | 37.4% | 73.3% | GLM-4.5-Air leads |
| AA-HLESource | 3.9% | 6.8% | GLM-4.5-Air leads |
| AA-Omniscience IndexSource | -47.6% | -62.5% | Claude 3 Haiku leads |
| AA-Omniscience AccuracySource | 17.2% | 15.5% | Claude 3 Haiku leads |
| AA-Omniscience Hallucination RateSource | 78.2% | 92.3% | Claude 3 Haiku leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude 3 Haiku | GLM-4.5-Air | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.1% | 37.6% | GLM-4.5-Air leads |
Frequently Asked Questions (3)
Can I compare Claude 3 Haiku and GLM-4.5-Air 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 GLM-4.5-Air today?
Claude 3 Haiku: $0.25 input / $1.25 output per 1M tokens GLM-4.5-Air: $0.20 input / $1.10 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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