Type ranking

# Best Non-Reasoning LLMs in October 2026

> Best Non-Reasoning LLMs: As of October 2026, Grok 4.20 (Non-Reasoning) leads the Noometry Index with a score of 48.6, ahead of Qwen3 Max at 43.7. 51 models ranked with sources.
- Canonical page: https://noometry.com/best/non-reasoning-models
- Last updated: 2026-10-11
- Title: Best Non-Reasoning LLMs (October 2026) | Noometry

As of October 2026, Grok 4.20 (Non-Reasoning) leads the Noometry Index with a score of 48.6, ahead of Qwen3 Max at 43.7.

Last verified October 11, 2026

Models that answer directly without a separate thinking phase. They are usually faster and cheaper per task.

Best Non-Reasoning LLMs: top 10

1.  Grok 4.20 (Non-Reasoning) 48.6
2.  Qwen3 Max 43.7
3.  Qwen3-Next 80B-A3B Instruct 43.0
4.  GPT-5.3 Chat 42.8
5.  Grok 4.1 Fast 41.4
6.  DeepSeek-V3 39.5
7.  Mistral Large 3 39.1
8.  Sonar 38.5
9.  Nova Premier 1.0 38.3
10.  Qwen3-Coder 480B-A35B Instruct 38.1
11.  35404550

## Full ranking

   51 models

Best Non-Reasoning LLMs
|  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | xAI [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | Proprietary | 1M | 48.6 | $1.25 | $2.50 | 31.1 | 61 |
| 2 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 Max](https://noometry.com/models/qwen3-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 262K | 43.7 | $1.20 | $6 | 18.2 | 48 |
| 3 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-Next 80B-A3B Instruct](https://noometry.com/models/qwen3-next-80b-a3b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 43.0 | $0.50 | $2 | 49.2 | 111 |
| 4 | OpenAI [GPT-5.3 Chat](https://noometry.com/models/gpt-5-3-chat) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 42.8 | $1.75 | $14 | 8.88 | — |
| 5 | xAI [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | Proprietary | 128K | 41.4 | $0.20 | $0.50 | 150 | — |
| 6 |  ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 39.5 | $0.24 | $0.90 | 97.5 | 73 |
| 7 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large 3](https://noometry.com/models/mistral-large-3) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 39.1 | $0.25 | $0.75 | 104 | 7 |
| 8 |  ![](/logos/perplexity.svg) Perplexity [Sonar](https://noometry.com/models/sonar) | [Perplexity](https://noometry.com/providers/perplexity) | Proprietary | 128K | 38.5 | $1 | $1 | 38.5 | — |
| 9 | Amazon [Nova Premier 1.0](https://noometry.com/models/nova-premier-1-0) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 1M | 38.3 | $2.50 | $12.50 | 7.67 | 9 |
| 10 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 38.1 | $1.50 | $7.50 | 12.7 | 67 |
| 11 |  ![](/logos/cohere.svg) Cohere [Command A](https://noometry.com/models/command-a) | [Cohere](https://noometry.com/providers/cohere) | Open | 256K | 36.5 | $2.50 | $10 | 8.33 | 28 |
| 12 | OpenAI [GPT-4.1](https://noometry.com/models/gpt-4-1) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 35.9 | $2 | $8 | 10.3 | 116 |
| 13 |  ![](/logos/cohere.svg) Cohere [C4ai Aya Expanse 32b](https://noometry.com/models/c4ai-aya-expanse-32b) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 35.9 | — | — | — | — |
| 14 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen Max](https://noometry.com/models/qwen-max) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Proprietary | 33K | 34.7 | $1.60 | $6.40 | 12.4 | — |
| 15 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen3 Coder Next](https://noometry.com/models/qwen3-coder-next) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 262K | 34.3 | $0.12 | $0.80 | 118 | — |
| 16 |  ![](/logos/mistral.svg) Mistral AI [Devstral Small 2505](https://noometry.com/models/devstral-small) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 34.3 | $0.10 | $0.30 | 229 | 88 |
| 17 | OpenAI [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 33.6 | $0.40 | $1.60 | 48.1 | 86 |
| 18 |  ![](/logos/cohere.svg) Cohere [Command R+](https://noometry.com/models/command-r-plus) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 32.4 | $2.50 | $10 | 7.41 | — |
| 19 |  ![](/logos/mistral.svg) Mistral AI [Pixtral Large](https://noometry.com/models/pixtral-large) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 32.2 | $2 | $6 | 10.7 | — |
| 20 |  ![](/logos/google.svg) Google [Gemma 3 12B](https://noometry.com/models/gemma-3-12b) | [Google](https://noometry.com/providers/google) | Open | 131K | 32.1 | $0.05 | $0.15 | 428 | — |
| 21 |  ![](/logos/mistral.svg) Mistral AI [Mistral Large](https://noometry.com/models/mistral-large) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 131K | 31.9 | $2 | $6 | 10.6 | — |
| 22 | Amazon [Amazon Nova Lite](https://noometry.com/models/amazon-nova-lite) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 300K | 31.9 | $0.06 | $0.24 | 304 | — |
| 23 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 31.9 | $1.40 | $5.60 | 13 | — |
| 24 |  ![](/logos/cohere.svg) Cohere [Command R](https://noometry.com/models/command-r) | [Cohere](https://noometry.com/providers/cohere) | Open | 128K | 31.4 | $0.15 | $0.60 | 120 | — |
| 25 |  ![](/logos/microsoft.svg) Microsoft [Phi-4](https://noometry.com/models/phi-4) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 31.2 | $0.07 | $0.14 | 357 | — |
| 26 | Amazon [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 300K | 31.0 | $0.80 | $3.20 | 22.1 | — |
| 27 |  ![](/logos/meta.svg) Meta [Llama 4 Maverick](https://noometry.com/models/llama-4-maverick) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.9 | $0.19 | $0.65 | 102 | 456 |
| 28 |  ![](/logos/microsoft.svg) Microsoft [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | [Microsoft](https://noometry.com/providers/microsoft) | Open | 128K | 30.9 | $0.075 | $0.30 | 235 | — |
| 29 |  ![](/logos/google.svg) Google [Gemma 3 27B](https://noometry.com/models/gemma-3-27b) | [Google](https://noometry.com/providers/google) | Open | 131K | 30.8 | $0.08 | $0.16 | 308 | 62 |
| 30 |  ![](/logos/mistral.svg) Mistral AI [Codestral](https://noometry.com/models/codestral) | [Mistral AI](https://noometry.com/providers/mistral) | Proprietary | 256K | 30.6 | $0.30 | $0.90 | 68 | 271 |
| 31 |  ![](/logos/meta.svg) Meta [Llama-3.3-70B-Instruct](https://noometry.com/models/llama-3-3-70b-instruct) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 30.6 | $0.10 | $0.32 | 197 | — |
| 32 | OpenAI [GPT-4 Turbo](https://noometry.com/models/gpt-4-turbo) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 30.5 | $10 | $30 | 2.03 | — |
| 33 | Amazon [Amazon Nova Micro](https://noometry.com/models/amazon-nova-micro) | [Amazon](https://noometry.com/providers/amazon) | Proprietary | 128K | 30.4 | $0.035 | $0.14 | 496 | — |
| 34 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 30.1 | $0.70 | $2.80 | 24.6 | — |
| 35 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5-VL 72B Instruct](https://noometry.com/models/qwen2-5-vl-72b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 29.9 | $2.80 | $8.40 | 7.13 | 43 |
| 36 |  ![](/logos/meta.svg) Meta [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 29.6 | $0.40 | $0.40 | 74.1 | — |
| 37 | OpenAI [GPT-4](https://noometry.com/models/gpt-4) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 8K | 29.1 | $30 | $60 | 0.78 | — |
| 38 |  ![](/logos/alibaba.svg) Alibaba (Qwen) [Qwen2.5 7B Instruct](https://noometry.com/models/qwen2-5-7b-instruct) | [Alibaba (Qwen)](https://noometry.com/providers/alibaba) | Open | 131K | 29.0 | $0.17 | $0.70 | 94.6 | — |
| 39 | OpenAI [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 28.6 | $2.50 | $10 | 6.53 | — |
| 40 |  ![](/logos/mistral.svg) Mistral AI [Ministral 8B](https://noometry.com/models/ministral-8b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 262K | 28.2 | $0.15 | $0.15 | 188 | — |
| 41 |  ![](/logos/google.svg) Google [Gemma 3 4B](https://noometry.com/models/gemma-3-4b) | [Google](https://noometry.com/providers/google) | Open | 131K | 28.1 | $0.04 | $0.08 | 563 | 72 |
| 42 | OpenAI [GPT-4.1 nano](https://noometry.com/models/gpt-4-1-nano) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 1.05M | 27.9 | $0.10 | $0.40 | 159 | 135 |
| 43 |  ![](/logos/meta.svg) Meta [Llama 4 Scout](https://noometry.com/models/llama-4-scout) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 27.7 | $0.10 | $0.30 | 184 | 272 |
| 44 |  ![](/logos/mistral.svg) Mistral AI [Mixtral 8x22B](https://noometry.com/models/mixtral-8x22b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 64K | 27.1 | $2 | $6 | 9.05 | — |
| 45 |  ![](/logos/mistral.svg) Mistral AI [Mixtral 8x7B](https://noometry.com/models/mixtral-8x7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 32K | 27.1 | $0.70 | $0.70 | 38.8 | — |
| 46 |  ![](/logos/mistral.svg) Mistral AI [Mistral Nemo](https://noometry.com/models/mistral-nemo) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 128K | 26.4 | $0.15 | $0.15 | 176 | — |
| 47 |  ![](/logos/mistral.svg) Mistral AI [Ministral 3B](https://noometry.com/models/ministral-3b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 131K | 26.2 | $0.10 | $0.10 | 262 | — |
| 48 | OpenAI [GPT-4o mini](https://noometry.com/models/gpt-4o-mini) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 128K | 25.5 | $0.15 | $0.60 | 97.2 | 120 |
| 49 | OpenAI [GPT-3.5-turbo](https://noometry.com/models/gpt-3-5-turbo) | [OpenAI](https://noometry.com/providers/openai) | Proprietary | 16K | 23.2 | $0.50 | $1.50 | 31 | — |
| 50 |  ![](/logos/mistral.svg) Mistral AI [Mistral 7B](https://noometry.com/models/mistral-7b) | [Mistral AI](https://noometry.com/providers/mistral) | Open | 8K | 23.0 | $0.25 | $0.25 | 92.2 | — |
| 51 |  ![](/logos/meta.svg) Meta [Llama 3.1-8B](https://noometry.com/models/llama-3-1-8b) | [Meta](https://noometry.com/providers/meta) | Open | 128K | 23.0 | $0.05 | $0.08 | 400 | — |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Compare the leaders

-   [Grok 4.20 (Non-Reasoning) vs Qwen3 Max](https://noometry.com/compare/grok-4-20-vs-qwen3-max)
-   [Grok 4.20 (Non-Reasoning) vs Qwen3-Next 80B-A3B Instruct](https://noometry.com/compare/grok-4-20-vs-qwen3-next-80b-a3b-instruct)
-   [Grok 4.20 (Non-Reasoning) vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-3-chat-vs-grok-4-20)
-   [Qwen3 Max vs Qwen3-Next 80B-A3B Instruct](https://noometry.com/compare/qwen3-max-vs-qwen3-next-80b-a3b-instruct)
-   [Qwen3 Max vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-max)
-   [Qwen3-Next 80B-A3B Instruct vs GPT-5.3 Chat](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-next-80b-a3b-instruct)

## Related rankings

-   [Best AI Models Overall](https://noometry.com/best/overall)
-   [Best Open-Source LLMs](https://noometry.com/best/open-source)
-   [Best Proprietary LLMs](https://noometry.com/best/proprietary)
-   [Best Reasoning Models](https://noometry.com/best/reasoning-models)
-   [Best New AI Models](https://noometry.com/best/newest)

## Frequently asked questions

### What is the best fast, non-thinking model?

As of October 2026, Grok 4.20 (Non-Reasoning) leads the Noometry Index with a score of 48.6, ahead of Qwen3 Max at 43.7.

### What are the top 5 in this ranking?

Grok 4.20 (Non-Reasoning), Qwen3 Max, Qwen3-Next 80B-A3B Instruct, GPT-5.3 Chat, Grok 4.1 Fast, in that order, as of October 2026.

### How is this list ranked?

By the Noometry Index, which is fitted from every public benchmark result and adjusted for how hard each benchmark is. Models need several independent results to be ranked.

### Cite this page

Noometry. (2026). Best Non-Reasoning LLMs. Retrieved October 11, 2026, from https://noometry.com/best/non-reasoning-models

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/best/non-reasoning-models.md).