Model comparison
GLM-4.7 vs Mistral Small 4
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); Mistral Small 4 #140 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and Mistral Small 4 share 15 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to GLM-4.7; 1 to Mistral Small 4.
Updated July 18, 2026- Shared results
- 15
- GLM-4.7 only
- 15
- Mistral Small 4 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.7 and Mistral Small 4 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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.
Mistral Small 4 is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. Mistral Small 4 has the larger context window at 256K, compared with 200K for GLM-4.7.
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 | GLM-4.7 | Δ | Mistral Small 4 |
|---|---|---|---|
| Agentic | GLM-4.745.7 | MarginNo overlap | Mistral Small 4Not measured |
| Coding | GLM-4.775.4 | MarginNo overlap | Mistral Small 4Not measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | Mistral Small 4Not measured |
| Math | GLM-4.71.8 | MarginNo overlap | Mistral Small 4Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | Mistral Small 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Mistral Small 4$0.15 input / $0.6 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | GLM-4.782 tok/s | Mistral Small 4175 tok/s | Mistral Small 4 has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Mistral Small 40.64 s | Mistral Small 4 reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-4.7200K | Mistral Small 4256K | Mistral Small 4 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Mistral Small 4 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | 4.7% | GLM-4.7 leads |
| τ²-bench resultsSource | 95.9% | 41.2% | GLM-4.7 leads |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | 4.4% | GLM-4.7 leads |
| GDPval-AASource | 1165 | 588 | GLM-4.7 leads |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | Mistral Small 4 | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 19.6% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 85.9% | 76.9% | GLM-4.7 leads |
| AA-HLESource | 25.1% | 9.5% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -34.6% | -29.9% | Mistral Small 4 leads |
| AA-Omniscience AccuracySource | 29.3% | 22.1% | GLM-4.7 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 66.8% | Mistral Small 4 leads |
Math3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | Mistral Small 4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | 48.2% | GLM-4.7 leads |
Frequently Asked Questions (3)
Can I compare GLM-4.7 and Mistral Small 4 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 and Mistral Small 4 today?
GLM-4.7: $0.00 input / $0.00 output per 1M tokens Mistral Small 4: $0.15 input / $0.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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