Model comparison
GLM-4.7-Flash vs Grok 4.1 Fast
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 1.9× less per token, which makes it the better buy when Grok 4.1 Fast's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 3 categories and Grok 4.1 Fast in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 43.4 to 20.9.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 9.3% for GLM-4.7-Flash and 17.8% for Grok 4.1 Fast.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.20 / $0.50 for Grok 4.1 Fast.
- GLM-4.7-Flash accepts more context: 200K tokens versus 128K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Grok 4.1 Fast | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 38.8 | 41.4 |
| Released | 2026-01-19 | 2025-06-27 |
| Weights | Open | Proprietary |
| Context window | 200K | 128K |
| Max output | 131K | 30K |
| Input $ / M tokens | $0.06 | $0.20 |
| Output $ / M tokens | $0.40 | $0.50 |
| Results tracked | 21 | 32 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), Grok 4.1 Fast: 34.1 (#245)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Coding | 1383 | 1411 |
| LMArena WebDev | — | 1242 |
| ALE-Bench | — | 394.93 |
Agentic & Tool Use Not comparable
GLM-4.7-Flash: —, Grok 4.1 Fast: 36.3 (#39)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 69.6% |
| τ²-bench Banking | — | 13.1% |
| LMArena Search | — | 1171 |
| Vending-Bench 2 | — | 1,107 |
Reasoning Grok 4.1 Fast leads
GLM-4.7-Flash: 20.9 (#229), Grok 4.1 Fast: 43.4 (#49)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1407 |
| SimpleBench | — | 56% |
| NYT Connections (extended) | — | 87.4% |
| Chess Puzzles | 0% | — |
| DTBench | — | 87.7% |
| ForecastBench | — | 61 |
Math GLM-4.7-Flash leads
GLM-4.7-Flash: 36.1 (#173), Grok 4.1 Fast: 31.9 (#221)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Math | 1355 | 1408 |
| MathArena Final-Answer Competitions | — | 60.9% |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 4% |
Knowledge GLM-4.7-Flash leads
GLM-4.7-Flash: 35.5 (#184), Grok 4.1 Fast: 33.1 (#207)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 17.8% |
| LMArena Expert | 1357 | 1399 |
| GPQA Diamond | 60.5% | — |
Multimodal Not comparable
GLM-4.7-Flash: —, Grok 4.1 Fast: 37.0 (#76)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Vision | — | 1201 |
Multilingual Grok 4.1 Fast leads
GLM-4.7-Flash: 46.5 (#158), Grok 4.1 Fast: 51.0 (#114)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Non-English | 1330 | 1391 |
| LMArena Chinese | 1403 | 1441 |
| LMArena French | 1332 | 1415 |
| LMArena German | 1337 | 1404 |
| LMArena Korean | 1283 | 1361 |
| LMArena Russian | 1332 | 1387 |
| LMArena Spanish | 1350 | 1413 |
| LMArena Japanese | — | 1349 |
Instruction Following Grok 4.1 Fast leads
GLM-4.7-Flash: 70.1 (#167), Grok 4.1 Fast: 72.7 (#133)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Instruction Following | 1327 | 1376 |
Long Context Grok 4.1 Fast leads
GLM-4.7-Flash: 40.9 (#148), Grok 4.1 Fast: 42.4 (#126)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Longer Query | 1345 | 1390 |
Writing & Preference Grok 4.1 Fast leads
GLM-4.7-Flash: 47.4 (#210), Grok 4.1 Fast: 57.2 (#131)
| Benchmark | GLM-4.7-Flash | Grok 4.1 Fast |
|---|---|---|
| LMArena Text | 1351 | 1408 |
| LMArena Creative Writing | 1297 | 1394 |
| EQ-Bench Creative Writing | 1125 | 1327 |
| LMArena Multi-Turn | 1342 | 1389 |
Frequently asked questions
Is GLM-4.7-Flash better than Grok 4.1 Fast?
Grok 4.1 Fast is the stronger model overall, scoring 41.4 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 1.9× less per token, which makes it the better buy when Grok 4.1 Fast's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or Grok 4.1 Fast?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Grok 4.1 Fast lists at $0.20 and $0.50.
Is GLM-4.7-Flash or Grok 4.1 Fast better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
GLM-4.7-Flash does, with 200K tokens against 128K.
How many benchmarks do GLM-4.7-Flash and Grok 4.1 Fast share?
18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Grok 4.1 Fast has 32.