Model comparison
GLM-4.7-Flash vs MiniMax M2.5
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: GLM-4.7-Flash #106 (Supported); MiniMax M2.5 #55 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7-Flash and MiniMax M2.5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-4.7-Flash; 1 to MiniMax M2.5.
Updated July 21, 2026- Shared results
- 0
- GLM-4.7-Flash only
- 0
- MiniMax M2.5 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.7-Flash and MiniMax M2.5 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.
MiniMax M2.5 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7-Flash. GLM-4.7-Flash has the larger context window at 200K, compared with 128K for MiniMax M2.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7-Flash | MiniMax M2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7-Flash$0 input / $0 output | MiniMax M2.5$0.3 input / $1.2 output | GLM-4.7-Flash has the lower combined listed price. |
| Generation speedtokens per second | GLM-4.7-Flash95 tok/s | MiniMax M2.546 tok/s | GLM-4.7-Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-4.7-Flash0.91 s | MiniMax M2.52.12 s | GLM-4.7-Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-4.7-Flash200K | MiniMax M2.5128K | GLM-4.7-Flash lists the larger context window. |
Benchmark Deep Dive
Coding1 benchmarks
| Benchmark | GLM-4.7-Flash | MiniMax M2.5 | Result |
|---|---|---|---|
| Vibe Code BenchSource | — | 14.85% | Not comparable |
Frequently Asked Questions (3)
Can I compare GLM-4.7-Flash and MiniMax M2.5 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 GLM-4.7-Flash and MiniMax M2.5 today?
GLM-4.7-Flash: $0.00 input / $0.00 output per 1M tokens MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.