Model comparison
GLM-4.5V vs Mercury 2.5
GLM-4.5V has enough public results to be ranked (#158); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where GLM-4.5V leads 34.7 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Mercury 2.5 accepts more context: 260K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Mercury 2.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Inception |
| Noometry Index | 39.2 | 30.2 |
| Released | 2025-08-11 | 2026-09-08 |
| Weights | Open | Proprietary |
| Context window | 64K | 260K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.60 | $0.04 |
| Output $ / M tokens | $1.80 | $0.15 |
| Results tracked | 15 | 2 |
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Category by category
Coding Not comparable
GLM-4.5V: 38.9 (#152), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Coding | 1347 | — |
| ALE-Bench | — | 301.65 |
Reasoning Not comparable
GLM-4.5V: 26.5 (#118), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LMArena Hard Prompts | 1335 | — |
Math GLM-4.5V leads
GLM-4.5V: 34.7 (#157), Mercury 2.5: 22.4
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| ProofBench | — | 3% |
| LMArena Math | 1353 | — |
Knowledge Not comparable
GLM-4.5V: 36.8 (#155), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.9 (#172), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Non-English | 1304 | — |
| LMArena Chinese | 1338 | — |
| LMArena Russian | 1299 | — |
| LMArena Spanish | 1335 | — |
Instruction Following Not comparable
GLM-4.5V: 69.4 (#170), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#166), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Longer Query | 1305 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.7 (#162), Mercury 2.5: —
| Benchmark | GLM-4.5V | Mercury 2.5 |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1333 | — |
Frequently asked questions
Is GLM-4.5V better than Mercury 2.5?
GLM-4.5V has enough public results to be ranked (#158); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, GLM-4.5V or Mercury 2.5?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Which has the bigger context window?
Mercury 2.5 does, with 260K tokens against 64K.
How many benchmarks do GLM-4.5V and Mercury 2.5 share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mercury 2.5 has 2.