Model comparison
GLM-4.5V vs Kimi K2.5
Kimi K2.5 is the stronger model overall, scoring 47.8 to 39.2 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Kimi K2.5 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 36.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 78.5% for Kimi K2.5.
- Both cost about the same: $0.60 input and $1.80 output per million tokens.
- Kimi K2.5 accepts more context: 262K tokens versus 64K.
Side by side
| GLM-4.5V | Kimi K2.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Moonshot AI |
| Noometry Index | 39.2 | 47.8 |
| Released | 2025-08-11 | 2026-01-27 |
| Weights | Open | Open |
| Context window | 64K | 262K |
| Max output | 16K | 262K |
| Input $ / M tokens | $0.60 | $0.45 |
| Output $ / M tokens | $1.80 | $2.25 |
| Results tracked | 15 | 51 |
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Category by category
Coding Kimi K2.5 leads
GLM-4.5V: 38.9 (#152), Kimi K2.5: 48.7 (#48)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Coding | 1347 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| LMArena WebDev | — | 1436 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| WeirdML | — | 45.6% |
| ALE-Bench | — | 821.65 |
Agentic & Tool Use Not comparable
GLM-4.5V: —, Kimi K2.5: 34.0 (#44)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |
Reasoning Kimi K2.5 leads
GLM-4.5V: 26.5 (#118), Kimi K2.5: 31.2 (#74)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 78.5% |
| LMArena Hard Prompts | 1335 | 1454 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| Epoch Capabilities Index | — | 148.05 |
Math Kimi K2.5 leads
GLM-4.5V: 34.7 (#157), Kimi K2.5: 50.3 (#46)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1353 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Kimi K2.5 leads
GLM-4.5V: 36.8 (#155), Kimi K2.5: 53.6 (#52)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Expert | 1353 | 1466 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |
| Vectara Hallucination Rate | — | 14.2% |
Multimodal Kimi K2.5 leads
GLM-4.5V: 33.6 (#86), Kimi K2.5: 40.4 (#37)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Vision | 1154 | 1269 |
| LMArena Document | — | 1430 |
Multilingual Kimi K2.5 leads
GLM-4.5V: 44.9 (#172), Kimi K2.5: 54.1 (#50)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1304 | 1433 |
| LMArena Chinese | 1338 | 1495 |
| LMArena Russian | 1299 | 1436 |
| LMArena Spanish | 1335 | 1450 |
| LMArena French | — | 1454 |
| LMArena German | — | 1441 |
| LMArena Japanese | — | 1422 |
| LMArena Korean | — | 1412 |
Instruction Following Kimi K2.5 leads
GLM-4.5V: 69.4 (#170), Kimi K2.5: 75.5 (#60)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1431 |
Long Context Kimi K2.5 leads
GLM-4.5V: 39.6 (#166), Kimi K2.5: 52.1 (#7)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1305 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |
Writing & Preference Kimi K2.5 leads
GLM-4.5V: 52.7 (#162), Kimi K2.5: 65.3 (#51)
| Benchmark | GLM-4.5V | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1333 | 1445 |
| LMArena Creative Writing | 1295 | 1423 |
| LMArena Multi-Turn | 1333 | 1444 |
| EQ-Bench Creative Writing | — | 1579 |
Frequently asked questions
Is GLM-4.5V better than Kimi K2.5?
Kimi K2.5 is the stronger model overall, scoring 47.8 to 39.2 on the Noometry Index.
Which is cheaper, GLM-4.5V or Kimi K2.5?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is GLM-4.5V or Kimi K2.5 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.7 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 64K.
How many benchmarks do GLM-4.5V and Kimi K2.5 share?
15 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Kimi K2.5 has 51.