Model comparison
Claude Sonnet 4.5 vs GLM-4.7-Flash
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.5 #96 (Estimated); GLM-4.7-Flash #106 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.5 and GLM-4.7-Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to Claude Sonnet 4.5; 0 to GLM-4.7-Flash.
Updated July 21, 2026- Shared results
- 0
- Claude Sonnet 4.5 only
- 12
- GLM-4.7-Flash only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 4.5 and GLM-4.7-Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for GLM-4.7-Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Claude Sonnet 4.5 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7-Flash.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.5 | GLM-4.7-Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.5$3 input / $15 output | GLM-4.7-Flash$0 input / $0 output | GLM-4.7-Flash has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.5Not available | GLM-4.7-Flash95 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.5Not available | GLM-4.7-Flash0.91 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.5200K | GLM-4.7-Flash200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding1 benchmarks
| Benchmark | Claude Sonnet 4.5 | GLM-4.7-Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.2% | — | Not comparable |
Reasoning1 benchmarks
| Benchmark | Claude Sonnet 4.5 | GLM-4.7-Flash | Result |
|---|---|---|---|
| ARC-AGI-2Source | 13.6% | — | Not comparable |
Knowledge1 benchmarks
| Benchmark | Claude Sonnet 4.5 | GLM-4.7-Flash | Result |
|---|---|---|---|
| GPQASource | 83.4% | — | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Sonnet 4.5 | GLM-4.7-Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1219 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 4.5 and GLM-4.7-Flash 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 Sonnet 4.5 and GLM-4.7-Flash today?
Claude Sonnet 4.5: $3.00 input / $15.00 output per 1M tokens GLM-4.7-Flash: $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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