Model comparison
Claude Haiku 4.5 Thinking vs GLM-4.7
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 Thinking unranked (Not scored); GLM-4.7 #42 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 Thinking and GLM-4.7 share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to Claude Haiku 4.5 Thinking; 29 to GLM-4.7.
Updated July 23, 2026- Shared results
- 1
- Claude Haiku 4.5 Thinking only
- 1
- GLM-4.7 only
- 29
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 Thinking and GLM-4.7 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Haiku 4.5 Thinking | Δ | GLM-4.7 |
|---|---|---|---|
| Agentic | Claude Haiku 4.5 ThinkingNot measured | MarginNo overlap | GLM-4.745.7 |
| Coding | Claude Haiku 4.5 ThinkingNot measured | MarginNo overlap | GLM-4.775.4 |
| Knowledge | Claude Haiku 4.5 ThinkingNot measured | MarginNo overlap | GLM-4.751.8 |
| Math | Claude Haiku 4.5 ThinkingNot measured | MarginNo overlap | GLM-4.71.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 Thinking | GLM-4.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5 ThinkingNot available | GLM-4.7$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Haiku 4.5 ThinkingNot available | GLM-4.782 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5 ThinkingNot available | GLM-4.71.10 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5 Thinking200K | GLM-4.7200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | GLM-4.7 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 41% | Not comparable |
| BrowseCompSource | — | 52% | Not comparable |
| VITA-BenchSource | — | 15.5% | Not comparable |
| AA Agentic IndexSource | — | 25.4% | Not comparable |
| τ²-bench resultsSource | — | 95.9% | Not comparable |
| Gert LabsSource | — | 39.95% | Not comparable |
| GDPval-AASource | — | 33.3% | Not comparable |
| GDPval-AASource | — | 1165 | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | GLM-4.7 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 11.39% | — | Not comparable |
| SWE-bench VerifiedSource | — | 73.8% | Not comparable |
| LiveCodeBenchSource | — | 84.9% | Not comparable |
| SWE-RebenchSource | — | 58.7% | Not comparable |
| AA Coding IndexSource | — | 45.3% | Not comparable |
| AA-SciCodeSource | — | 45.1% | Not comparable |
| AA LiveCodeBenchSource | — | 89.4% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | GLM-4.7 | Result |
|---|---|---|---|
| GPQASource | — | 85.7% | Not comparable |
| MMLU-ProSource | — | 84.3% | Not comparable |
| HLESource | — | 24.8% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 33.7% | Not comparable |
| AA-GPQA DiamondSource | — | 85.9% | Not comparable |
| AA-HLESource | — | 25.1% | Not comparable |
| AA-Omniscience IndexSource | — | -34.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 29.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 90.3% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | GLM-4.7 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | 1255 | GLM-4.7 leads |
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | GLM-4.7 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.9% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 Thinking and GLM-4.7 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 Haiku 4.5 Thinking and GLM-4.7 today?
GLM-4.7: $0.00 input / $0.00 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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