Model comparison
GLM-4.7-Flash vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 6.0× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- GLM-4.7-Flash accepts more context: 200K tokens versus 131K.
Side by side
| GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.4 | 42.5 |
| Released | 2026-01-19 | 2025-09 |
| Weights | Open | Open |
| Context window | 200K | 131K |
| Max output | 131K | 33K |
| Input $ / M tokens | $0.06 | $0.50 |
| Output $ / M tokens | $0.40 | $2 |
| Results tracked | 21 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 40.0 (#133), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1383 | 1441 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 20.2 (#224), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 0% | — |
Math Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 34.4 (#159), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1354 | 1440 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 35.4 (#177), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 9.3% |
| LMArena Expert | 1357 | 1416 |
| GPQA Diamond | 60.5% | — |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 46.8 (#152), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1331 | 1407 |
| LMArena Chinese | 1403 | 1461 |
| LMArena French | 1332 | 1415 |
| LMArena German | 1336 | 1416 |
| LMArena Korean | 1284 | 1366 |
| LMArena Russian | 1333 | 1403 |
| LMArena Spanish | 1351 | 1436 |
| LMArena Japanese | — | 1398 |
Instruction Following Too close to call
GLM-4.7-Flash: 70.3 (#162), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1327 | 1388 |
| IFEval | — | 81% |
Long Context GLM-4.7-Flash leads
GLM-4.7-Flash: 40.9 (#143), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1345 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
GLM-4.7-Flash: 47.7 (#206), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | GLM-4.7-Flash | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1351 | 1417 |
| LMArena Creative Writing | 1297 | 1333 |
| LMArena Multi-Turn | 1342 | 1415 |
| EQ-Bench Creative Writing | 1125 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is GLM-4.7-Flash better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 6.0× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or Qwen3-Next 80B-A3B Instruct?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is GLM-4.7-Flash or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 40.0 in the Noometry coding category.
Which has the bigger context window?
GLM-4.7-Flash does, with 200K tokens against 131K.
How many benchmarks do GLM-4.7-Flash and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.