Model comparison
Amazon Nova Pro vs GLM-4.7-Flash
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 30.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and GLM-4.7-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.4 to 27.1.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | GLM-4.7-Flash | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 30.5 | 38.4 |
| Released | 2024-12-03 | 2026-01-19 |
| Weights | Proprietary | Open |
| Context window | 300K | 200K |
| Max output | 10K | 131K |
| Input $ / M tokens | $0.80 | $0.06 |
| Output $ / M tokens | $3.20 | $0.40 |
| Results tracked | 38 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
Amazon Nova Pro: 34.6 (#224), GLM-4.7-Flash: 40.0 (#133)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Coding | 1270 | 1383 |
| LiveBench Coding | 38.1% | — |
Agentic & Tool Use Not comparable
Amazon Nova Pro: 16.6 (#139), GLM-4.7-Flash: —
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Too close to call
Amazon Nova Pro: 19.2 (#240), GLM-4.7-Flash: 20.2 (#224)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1356 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| Epoch Capabilities Index | 123.75 | — |
| LiveBench | 43.5% | — |
Math GLM-4.7-Flash leads
Amazon Nova Pro: 26.4 (#240), GLM-4.7-Flash: 34.4 (#159)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Math | 1252 | 1354 |
| OTIS Mock AIME 2024-2025 | — | 58.3% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
Knowledge GLM-4.7-Flash leads
Amazon Nova Pro: 27.1 (#246), GLM-4.7-Flash: 35.4 (#177)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| Vectara Hallucination Rate | 5.1% | 9.3% |
| LMArena Expert | 1211 | 1357 |
| GPQA Diamond | — | 60.5% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 24.5 (#121), GLM-4.7-Flash: —
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual GLM-4.7-Flash leads
Amazon Nova Pro: 39.9 (#218), GLM-4.7-Flash: 46.8 (#152)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | 1234 | 1331 |
| LMArena Chinese | 1244 | 1403 |
| LMArena French | 1270 | 1332 |
| LMArena German | 1243 | 1336 |
| LMArena Korean | 1203 | 1284 |
| LMArena Russian | 1240 | 1333 |
| LMArena Spanish | 1182 | 1351 |
| LMArena Japanese | 1200 | — |
Instruction Following GLM-4.7-Flash leads
Amazon Nova Pro: 65.1 (#221), GLM-4.7-Flash: 70.3 (#162)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | 1235 | 1327 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context GLM-4.7-Flash leads
Amazon Nova Pro: 38.1 (#199), GLM-4.7-Flash: 40.9 (#143)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | 1255 | 1345 |
Writing & Preference GLM-4.7-Flash leads
Amazon Nova Pro: 44.1 (#221), GLM-4.7-Flash: 47.7 (#206)
| Benchmark | Amazon Nova Pro | GLM-4.7-Flash |
|---|---|---|
| LMArena Text | 1259 | 1351 |
| LMArena Creative Writing | 1212 | 1297 |
| LMArena Multi-Turn | 1245 | 1342 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 1125 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than GLM-4.7-Flash?
GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 30.5 on the Noometry Index.
Which is cheaper, Amazon Nova Pro or GLM-4.7-Flash?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or GLM-4.7-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 34.6 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 200K.
How many benchmarks do Amazon Nova Pro and GLM-4.7-Flash share?
17 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GLM-4.7-Flash has 21.