GLM-5.3-Flash vs Mistral Large 4
| Spec | GLM-5.3-Flash | Mistral Large 4 |
|---|---|---|
| Respan Index | 45.2 (#45) | 45.0 (#47) |
| Blended price per 1M | $0.043 | $1.05 |
| Context window | 1M | 1M |
| Input / output per 1M | $0.027 / $0.092 | $0.7 / $2.1 |
| Max output | 131K | - |
| Input | text, vision | text, vision |
| Released | 2026-08-26 | 2026-10-06 |
Respan Index by category
Each category is scored 0 to 100, and how far ahead the winner is. Leads under a point are close to even.
| Category | GLM-5.3-Flash | Mistral Large 4 |
|---|---|---|
| Coding | 39.9 GLM-5.3-Flash | 41.5 Mistral Large 4 |
| Agents | 61.6 GLM-5.3-Flash | 56.0 Mistral Large 4 |
| Reasoning | 32.8 GLM-5.3-Flash | 42.7 Mistral Large 4 |
| Knowledge & language | 32.0 GLM-5.3-Flash | 18.2 Mistral Large 4 |
| Human preference | 56.1 GLM-5.3-Flash | 54.3 Mistral Large 4 |
Benchmarks both report
Mistral Large 4 leads on 10 of the 19 benchmarks both report. Higher is better. Each score links to where it was published.
| Benchmark | GLM-5.3-Flash | Mistral Large 4 |
|---|---|---|
| Chess Puzzles (Epoch AI) | 21% | 33% |
| LMArena Agent (LMArena) | -0.0233 | -0.0602 |
| LMArena Elo | 1477 | 1432 |
| LMArena WebDev (LMArena) | 1607 | 1544 |
| Terminal-Bench 4.0 (Vals AI) | 37.4% | 27.8% |
| LMArena Vision (LMArena) | 1271 | 1252 |
| APEX-Agents (Mercor) | 52.8% | 51.6% |
| FrontierMath Tier 4 v2 (Epoch AI) | 17.1% | 26.8% |
| FrontierMath Tiers 1-3 v2 (Epoch AI) | 55.8% | 58.6% |
| GPQA Diamond | 90.2% | 88.1% |
| LiveBench Agentic Coding (LiveBench) | 56.8% | 57.2% |
| LiveBench Coding (LiveBench) | 79% | 77.2% |
| LiveBench Data Analysis (LiveBench) | 76.4% | 76.5% |
| LiveBench Instruction Following (LiveBench) | 52.8% | 64.8% |
| LiveBench Language (LiveBench) | 77.3% | 49.6% |
| LiveBench Mathematics (LiveBench) | 81.2% | 93.6% |
| LiveBench Reasoning (LiveBench) | 77.6% | 83.9% |
| Mystery Game Puzzles (Epoch AI) | 8% | 17% |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 93.9% | 98.3% |
FAQ
Is GLM-5.3-Flash better than Mistral Large 4?
GLM-5.3-Flash scores 45.2 on the Respan Index (#45), ahead of Mistral Large 4 at 45.0 (#47). Mistral Large 4 leads on 10 of the 19 benchmarks both report.
Which is cheaper, GLM-5.3-Flash or Mistral Large 4?
GLM-5.3-Flash lists at $0.027 input and $0.092 output per 1M tokens; Mistral Large 4 at $0.7 and $2.1. GLM-5.3-Flash is 24x cheaper per token at list price.
Which has the larger context window?
Both accept 1M tokens of context.