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AI model usage rankings - October 6, 2026
As published on October 6, 2026, DeepSeek: DeepSeek V4.1 Flash (batch) led real OpenRouter usage share at 23.1%. Qwen: Qwen3.7 Flash entered the leaderboard for the first time. Upstage: Solar Pro 4 moved 14 places up since October 5, 2026.
- #1 DeepSeek: DeepSeek V4.1 Flash (batch) - 23.1% usage share
- #2 Z.ai: GLM 5.3 Flash (batch) - 7.6% usage share
- #3 Xiaomi: MiMo-V2.6-Flash - 7.2% usage share
- #4 DeepSeek: DeepSeek V4 Flash 0423 - 6.0% usage share
- #5 Tencent: Hy4 preview - 5.6% usage share
- #6 OpenAI: GPT-6 Luna (batch) - 4.7% usage share
- #7 NVIDIA: Nemotron 3 Ultra (free) - 3.9% usage share
- #8 OpenAI: GPT-5.6 Sol (batch) - 2.9% usage share
- #9 Anthropic: Claude Opus 5.5 (batch) - 2.9% usage share
- #10 Z.ai: GLM 5.3 (batch) - 2.3% usage share
| # | Model | Usage share | Rank change |
|---|---|---|---|
| 01 | DeepSeek: DeepSeek V4.1 Flash (batch) | 23.1% | no change |
| 02 | Z.ai: GLM 5.3 Flash (batch) | 7.6% | +1 (+1.4pts) |
| 03 | Xiaomi: MiMo-V2.6-Flash | 7.2% | +1 (+1.3pts) |
| 04 | DeepSeek: DeepSeek V4 Flash 0423 | 6.0% | +1 (+0.8pts) |
| 05 | Tencent: Hy4 preview | 5.6% | +1 (+1.5pts) |
| 06 | OpenAI: GPT-6 Luna (batch) | 4.7% | +2 (+1.4pts) |
| 07 | NVIDIA: Nemotron 3 Ultra (free) | 3.9% | no change |
| 08 | OpenAI: GPT-5.6 Sol (batch) | 2.9% | +7 (+2pts) |
| 09 | Anthropic: Claude Opus 5.5 (batch) | 2.9% | +1 (+1.1pts) |
| 10 | Z.ai: GLM 5.3 (batch) | 2.3% | -1 (+0.4pts) |
| 11 | Anthropic: Claude Sonnet 5.5 (batch) | 1.6% | +12 (+1.1pts) |
| 12 | Google: Gemini 3.8 Flash (batch) | 1.4% | -1 (+0.2pts) |
| 13 | DeepSeek: DeepSeek V4 Pro 0423 | 1.4% | +1 (+0.3pts) |
| 14 | Z.ai: GLM 5.2 | 1.3% | +5 (+0.6pts) |
| 15 | MoonshotAI: Kimi K3 (batch) | 1.3% | -3 (+0.1pts) |
| 16 | OpenAI: GPT-5.6 Luna (batch) | 1.2% | -3 (+0.1pts) |
| 17 | Tencent: Hy3 | 1.2% | -1 (+0.3pts) |
| 18 | OpenAI: GPT-6.1 Sol (batch) | 1.1% | no change |
| 19 | Meta: Muse Spark 1.3 Contributor | 0.9% | -2 (+0.1pts) |
| 20 | MiniMax: MiniMax M3 | 0.8% | +1 (+0.2pts) |
| 21 | Xiaomi: MiMo-V2.6-Pro | 0.8% | -1 (+0.1pts) |
| 22 | Anthropic: Claude Sonnet 5 (batch) | 0.7% | +4 (+0.1pts) |
| 23 | Upstage: Solar Pro 4 | 0.6% | +14 (+0.4pts) |
| 24 | Poolside: Laguna S 2.1 (free) | 0.6% | +3 (+0.2pts) |
| 25 | Anthropic: Claude Opus 5 (batch) | 0.6% | -3 (0pts) |
| 26 | Google: Gemini 3 Flash Preview (batch) | 0.6% | +3 (+0.2pts) |
| 27 | NVIDIA: Nemotron 3.5 Lightning (free) | 0.6% | +1 (+0.1pts) |
| 28 | Upstage: Solar Mini 4 | 0.5% | +14 (+0.3pts) |
| 29 | Xiaomi: MiMo-V2.5 | 0.5% | -4 (0pts) |
| 30 | OpenAI: GPT-6 Sol (batch) | 0.5% | -6 (0pts) |
| 31 | NVIDIA: Nemotron 3 Super (free) | 0.4% | +1 (+0.1pts) |
| 32 | Google: Gemini 2.5 Flash Lite (batch) | 0.4% | -1 (+0.1pts) |
| 33 | inclusionAI: Ling 3.0 Flash Sante | 0.4% | +6 (+0.1pts) |
| 34 | OpenAI: gpt-oss-120b (batch) | 0.4% | +2 (+0.1pts) |
| 35 | Qwen: Qwen3.8 Flash | 0.4% | +6 (+0.1pts) |
| 36 | Google: Gemini 3.1 Flash Lite (batch) | 0.4% | -2 (+0.1pts) |
| 37 | Qwen: Qwen3.8 27B | 0.4% | -2 (+0.1pts) |
| 38 | SpaceXAI: Grok 4.7 | 0.3% | +2 (+0.1pts) |
| 39 | inclusionAI: Ling 3.1 Flash | 0.3% | -6 (0pts) |
| 40 | OpenAI: GPT-6 Astra (batch) | 0.3% | -10 (0pts) |
| 41 | Google: Gemini 2.5 Flash (batch) | 0.3% | -3 (0pts) |
| 42 | Google: Gemini 3.7 Flash (batch) | 0.3% | +2 (+0.1pts) |
| 43 | OpenAI: GPT-6 Luna Pro (batch) | 0.3% | +2 (+0.1pts) |
| 44 | Google: Gemma 4 31B (free) | 0.3% | -1 (0pts) |
| 45 | Qwen: Qwen3.7 Flash New | 0.2% | - |
| 46 | Google: Gemma 4 26B A4B (free) | 0.2% | no change |
This page is a permanent, unchanging record of real OpenRouter usage share as it stood on October 6, 2026. Later corrections to the data pipeline appear as new dated snapshots - this page's figures never change.
Source: OpenRouter (openrouter.ai/rankings), as of October 6, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: www.smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.
