All tasks / Text & knowledge / Chat & assistants
Best AI APIs for chat & assistants
Models you can call through a paid API, ranked from public benchmarks, with their price in this task’s unit.
STop ranked: Gemini 4 Argon (Google), 1,524 on LMArena Text Arena (overall, style control).50 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S | Google | Models | Cloud | 1,524 on LMArena Text Arena (overall, style control) | $4/M tokens | — | |
| S | Muse Wonder Meta | Models | Cloud | 1,509 on LMArena Text Arena (overall, style control) | $8/M tokens | — | vs Gemini 4 Argon |
| S | Anthropic | Models | Cloud | 1,508 on LMArena Text Arena (overall, style control) | $8/M tokens | — | vs Gemini 4 Argon |
| S | Anthropic | Models | Cloud | 1,502 on LMArena Text Arena (overall, style control) | $20/M tokens | — | vs Gemini 4 Argon |
| S | Google | Models | Cloud | 1,496 on LMArena Text Arena (overall, style control) | $1.5/M tokens | — | vs Gemini 4 Argon |
| S | Muse Spark 1.3 Meta | Models | Cloud | 1,494 on LMArena Text Arena (overall, style control) | $2/M tokens | — | |
| S | Google | Models | Cloud | 1,487 on LMArena Text Arena (overall, style control) | $4.5/M tokens | — | |
| S | Moonshot AI | Models | Local | 1,487 on LMArena Text Arena (overall, style control) | ~1600 GB VRAM | — | |
| S | OpenAI | Models | Cloud | 1,484 on LMArena Text Arena (overall, style control) | $4/M tokens | — | |
| A | Qwen3.8-Max Alibaba (Qwen) | Models | Cloud | 1,482 on LMArena Text Arena (overall, style control) | $3/M tokens | — | |
| A | Xiaomi | Models | Local | 1,479 on LMArena Text Arena (overall, style control) | ~585 GB VRAM | — | |
| A | Z.ai | Models | Local | 1,479 on LMArena Text Arena (overall, style control) | ~425 GB VRAM | — | |
| A | OpenAI | Models | Cloud | 1,477 on LMArena Text Arena (overall, style control) | $20/M tokens | — | vs Gemini 4 Argon |
| A | Anthropic | Models | Cloud | 1,475 on LMArena Text Arena (overall, style control) | $4/M tokens | — | vs Gemini 4 Argon |
| A | DeepSeek | Models | Local | 1,475 on LMArena Text Arena (overall, style control) | ~320 GB VRAM | — | |
| A | Z.ai | Models | Local | 1,474 on LMArena Text Arena (overall, style control) | ~185 GB VRAM | — | |
| A | DeepSeek | Models | Local | 1,465 on LMArena Text Arena (overall, style control) | ~920 GB VRAM | — | |
| A | Alibaba (Qwen) | Models | Cloud | 1,456 on LMArena Text Arena (overall, style control) | $0.56/M tokens | — | |
| A | Google | Models | Cloud | 1,455 on LMArena Text Arena (overall, style control) | $0.85/M tokens | — | |
| A | Google DeepMind | Models | Local | 1,452 on LMArena Text Arena (overall, style control) | ~19 GB VRAM | — | |
| A | Xiaomi | Models | Local | 1,451 on LMArena Text Arena (overall, style control) | ~178 GB VRAM | — | |
| A | StepFun | Models | Local | 1,447 on LMArena Text Arena (overall, style control) | ~346 GB VRAM | — | |
| A | xAI | Models | Cloud | 1,444 on LMArena Text Arena (overall, style control) | $3/M tokens | — | |
| A | OpenAI | Models | Cloud | 1,443 on LMArena Text Arena (overall, style control) | $0.2/M tokens | — | |
| A | MiniMax | Models | Local | 1,441 on LMArena Text Arena (overall, style control) | ~245 GB VRAM | — | |
| A | Thinking Machines Lab | Models | Local | 1,441 on LMArena Text Arena (overall, style control) | ~557 GB VRAM | — | |
| A | Alibaba (Qwen) | Models | Local | 1,438 on LMArena Text Arena (overall, style control) | ~17 GB VRAM | — | |
| A | Mistral AI | Models | Cloud | 1,432 on LMArena Text Arena (overall, style control) | $2.06/M tokens | — | |
| A | Mistral AI | Models | Local | 1,426 on LMArena Text Arena (overall, style control) | ~75 GB VRAM | — | |
| A | NVIDIA | Models | Local | 1,426 on LMArena Text Arena (overall, style control) | ~321 GB VRAM | — | |
| A | Meta | Models | Local | 1,425 on LMArena Text Arena (overall, style control) | ~19 GB VRAM | — | |
| B | NVIDIA | Models | Local | 1,416 on LMArena Text Arena (overall, style control) | ~72 GB VRAM | — | |
| B | Thinking Machines Lab | Models | Local | 1,404 on LMArena Text Arena (overall, style control) | ~159 GB VRAM | — | |
| B | Upstage | Models | Cloud | 1,386 on LMArena Text Arena (overall, style control) | $0.52/M tokens | — | |
| B | Anthropic | Models | Cloud | 43 on Artificial Analysis Intelligence Index | $0.2/M tokens | — | |
| B | Arcee AI | Models | Local | 1,367 on LMArena Text Arena (overall, style control) | ~229 GB VRAM | — | |
| B | inclusionAI (Ant Group) | Models | Local | 41 on Artificial Analysis Intelligence Index | ~321 GB VRAM | — | |
| B | OpenAI | Models | Local | 1,352 on LMArena Text Arena (overall, style control) | ~80 GB VRAM | — | |
| B | NVIDIA | Models | Local | 1,351 on LMArena Text Arena (overall, style control) | ~20 GB VRAM | — | |
| B | Alibaba (Qwen) | Models | Local | 40 on Artificial Analysis Intelligence Index | ~1370 GB VRAM | — | |
| C | Meta | Models | Local | 39 on Artificial Analysis Intelligence Index | ~470 GB VRAM | — | |
| C | Meta | Models | Local | 1,327 on LMArena Text Arena (overall, style control) | ~230 GB VRAM | — | |
| C | OpenAI | Models | Local | 1,317 on LMArena Text Arena (overall, style control) | ~16 GB VRAM | — | |
| C | Reflection AI | Models | Local | 30 on Artificial Analysis Intelligence Index | ~287 GB VRAM | — | |
| C | Moonshot AI | Models | Local | 26 on Artificial Analysis Intelligence Index | ~587 GB VRAM | — | |
| C | Meituan (LongCat) | Models | Local | 19 on Artificial Analysis Intelligence Index | ~1014 GB VRAM | — | |
| C | Cohere | Models | Local | 13 on Artificial Analysis Intelligence Index | ~126 GB VRAM | — | |
| C | Inception | Models | Cloud | 12 on Artificial Analysis Intelligence Index | $0.34/M tokens | — | |
| C | Mistral AI | Models | Local | 6 on Artificial Analysis Intelligence Index | ~9 GB VRAM | — | |
| C | Mistral AI | Models | Local | 11 on Artificial Analysis Intelligence Index | ~69 GB VRAM | — |
Tiers come only from public benchmarks (LMArena Text Arena (overall, style control), Artificial Analysis Intelligence Index); tools without a result of their own inherit the tier of the best model they offer. How we rank.