DeepSeek V4.1-Flash vs GLM-5.2
DeepSeek V4.1-Flash is from DeepSeek, released September 10, 2026. GLM-5.2 is from Zhipu AI, released June 13, 2026.
- LMArena Elo1475 vs 1475. Both rated 1475 on LMArena.
- Input per 1M$0.30 vs $1.40. DeepSeek V4.1-Flash costs 79% less per million input tokens.
- Output per 1M$1.20 vs $4.40. DeepSeek V4.1-Flash costs 73% less per million output tokens.
- Context window1M vs 1M. Both hold 1M tokens of context.
Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.
Interactive Comparison
Loading chart...
$0.30 / $1.20 per million tokens | $1.40 / $4.40 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | DeepSeek | Zhipu AI |
| Released | Sep 2026 | Jun 2026 |
| Status | GA | GA |
| Licence | MIT | Open weights (MIT) |
| Self-hostable | Yes - open weights on Hugging Face | Yes |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $0.525 / 1M tokens | $2.150 / 1M tokens |
| Input price | $0.300 / 1M tokens | $1.400 / 1M tokens |
| Output price | $1.200 / 1M tokens | $4.400 / 1M tokens |
| Cached input | $0.006 / 1M tokens (peak); $0.003 off-peak | $0.26 / 1M tokens (cache storage listed as limited-time free) |
| Batch discount | Off-peak billing: 50% off all rates | Not offered |
| Free tier | — | Not offered |
| Capacity | ||
| Context window | 1M tokens | 1M tokens |
| Max output | 384k tokens | 128k tokens |
| Long-context surcharge | None (flat rate across the 1M window) | None (flat rate across the 1M window) |
| Capability | ||
| Vision in | Yes | No |
| Audio in | No | No |
| Function calling | Yes | Yes |
| Structured output | Yes - JSON output | Yes |
| Extended reasoning | Yes - thinking (default) and non-thinking modes | Yes |
| Web search | No | Yes |
| Code execution | No | Not offered |
| Access | ||
| API | Yes | Yes |
| Chat app | Yes | Yes |
| Cloud marketplaces | Not offered | Azure AI Foundry (via Fireworks AI) |
| Fine-tuning | Not offered (weights are open) | Not offered |
| Measured quality | ||
| LMArena Elo | 1475 (checked Oct 2026) | 1475 (checked Oct 2026) |
| LMArena rank | Rank 39 | Rank 33 |
| GPQA Diamond | — | 92 |
| SWE-bench Verified | — | 79 |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 2810 | 686 |
