Value ranking

# Best Value LLMs for Agentic & Tool Use in October 2026

> Best Value LLMs for Agentic & Tool Use: As of October 2026, GPT-6 Luna gives the most agentic & tool use performance per dollar: 33.3 points at a blended $0.20 per million tokens. … 71 models ranked with sources.
- Canonical page: https://noometry.com/best/best-value-agentic
- Last updated: 2026-10-10
- Title: Best Value LLMs for Agentic & Tool Use (October 2026)

As of October 2026, GPT-6 Luna gives the most agentic & tool use performance per dollar: 33.3 points at a blended $0.20 per million tokens. GLM-5.3-Flash is next.

Last verified October 10, 2026

Category score per dollar of blended API price, among models in the top half of the agentic ranking.

Best Value LLMs for Agentic & Tool Use: top 10

1.  GPT-6 Luna 166.6 pts/$
2.  GLM-5.3-Flash 144.2 pts/$
3.  Grok 4.1 Fast 132.1 pts/$
4.  DeepSeek V4.1 Flash 118.8 pts/$
5.  DeepSeek-V3.2-Exp 112.8 pts/$
6.  Qwen3 8B 97.4 pts/$
7.  GPT-5.6 Luna 76.5 pts/$
8.  MiMo-V2.6-Pro 69.0 pts/$
9.  MiniMax-M2.5 57.8 pts/$
10.  GPT-4.1 mini 47.5 pts/$
11.  050100150200

## Full ranking

Best Value LLMs for Agentic & Tool Use
| # | Model | Score | Input $/M | Output $/M | Points per $ |
| --- | --- | --- | --- | --- | --- |
| 1 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | 33.3 | $0.10 | $0.50 | 166.6 |
| 2 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | 34.2 | $0.15 | $0.50 | 144.2 |
| 3 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | 36.3 | $0.20 | $0.50 | 132.1 |
| 4 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | 31.2 | $0.15 | $0.60 | 118.8 |
| 5 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | 32.7 | $0.26 | $0.38 | 112.8 |
| 6 | [Qwen3 8B](https://noometry.com/models/qwen3-8b) | 30.2 | $0.18 | $0.70 | 97.4 |
| 7 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | 34.4 | $0.20 | $1.20 | 76.5 |
| 8 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | 37.5 | $0.43 | $0.87 | 69.0 |
| 9 | [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) | 30.4 | $0.30 | $1.20 | 57.8 |
| 10 | [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | 33.3 | $0.40 | $1.60 | 47.5 |
| 11 | [GPT-5 Mini](https://noometry.com/models/gpt-5-mini) | 31.1 | $0.25 | $2 | 45.3 |
| 12 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | 34.2 | $0.45 | $2.25 | 38.0 |
| 13 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) | 30.8 | $0.30 | $2.50 | 36.2 |
| 14 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | 38.7 | $0.50 | $3 | 34.4 |
| 15 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | 30.7 | $0.50 | $2.15 | 33.6 |
| 16 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | 32.8 | $0.66 | $1.98 | 33.1 |
| 17 | [GLM-4.6](https://noometry.com/models/glm-4-6) | 32.3 | $0.60 | $2.20 | 32.3 |
| 18 | [Kimi K2 (Jul 2025)](https://noometry.com/models/kimi-k2) | 32.4 | $0.57 | $2.30 | 32.3 |
| 19 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) | 32.9 | $0.99 | $1.49 | 29.5 |
| 20 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) | 42.1 | $0.75 | $3.75 | 28.1 |
| 21 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) | 41.8 | $0.75 | $3.75 | 27.9 |
| 22 | [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | 33.9 | $0.70 | $2.80 | 27.7 |
| 23 | [Qwen3 32B](https://noometry.com/models/qwen3-32b) | 32.6 | $0.70 | $2.80 | 26.6 |
| 24 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) | 33.3 | $0.60 | $3.60 | 24.7 |
| 25 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | 34.4 | $1.25 | $2.50 | 22.0 |
| 26 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | 32.3 | $0.75 | $3.75 | 21.6 |
| 27 | [GLM-5](https://noometry.com/models/glm-5) | 31.1 | $1 | $3.20 | 20.0 |
| 28 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | 38.6 | $1.25 | $4.25 | 19.3 |
| 29 | [o4-mini](https://noometry.com/models/o4-mini) | 32.6 | $1.10 | $4.40 | 16.9 |
| 30 | [GLM-5.3](https://noometry.com/models/glm-5-3) | 36.4 | $1.40 | $4.40 | 16.9 |
| 31 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | 33.6 | $1 | $5 | 16.8 |
| 32 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | 30.8 | $1.25 | $4.25 | 15.4 |
| 33 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) | 45.4 | $2 | $6 | 15.1 |
| 34 | [GLM-5.2](https://noometry.com/models/glm-5-2) | 32.4 | $1.40 | $4.40 | 15.1 |
| 35 | [Grok 4.5](https://noometry.com/models/grok-4-5) | 44.4 | $2 | $6 | 14.8 |
| 36 | [Grok 4.6](https://noometry.com/models/grok-4-6) | 39.4 | $2 | $6 | 13.1 |
| 37 | [Grok 4.7](https://noometry.com/models/grok-4-7) | 36.7 | $2 | $6 | 12.2 |
| 38 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | 45.0 | $2 | $10 | 11.3 |
| 39 | [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | 38.0 | $1.25 | $10 | 11.1 |
| 40 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | 42.8 | $2 | $10 | 10.7 |
| 41 | [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | 48.0 | $1.75 | $14 | 10.0 |
| 42 | [GPT-4.1](https://noometry.com/models/gpt-4-1) | 34.7 | $2 | $8 | 9.9 |
| 43 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | 39.6 | $2 | $10 | 9.9 |
| 44 | [o3](https://noometry.com/models/o3) | 34.5 | $2 | $8 | 9.9 |
| 45 | [GPT-5](https://noometry.com/models/gpt-5) | 33.1 | $1.25 | $10 | 9.6 |
| 46 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | 32.7 | $1.25 | $10 | 9.5 |
| 47 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | 37.2 | $2 | $10 | 9.3 |
| 48 | [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | 31.0 | $1.25 | $10 | 9.0 |
| 49 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | 40.1 | $2 | $12 | 8.9 |
| 50 | [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | 41.0 | $1.75 | $14 | 8.5 |
| 51 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | 37.7 | $2 | $12 | 8.4 |
| 52 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | 40.2 | $1.75 | $14 | 8.3 |
| 53 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | 46.5 | $2.50 | $15 | 8.3 |
| 54 | [Command A](https://noometry.com/models/command-a) | 35.9 | $2.50 | $10 | 8.2 |
| 55 | [Kimi K3](https://noometry.com/models/kimi-k3) | 41.8 | $3 | $15 | 7.0 |
| 56 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | 39.1 | $3 | $15 | 6.5 |
| 57 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | 38.5 | $3 | $15 | 6.4 |
| 58 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | 38.3 | $3 | $15 | 6.4 |
| 59 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | 50.3 | $4 | $20 | 6.3 |
| 60 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | 45.3 | $4 | $20 | 5.7 |
| 61 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | 55.6 | $5 | $25 | 5.6 |
| 62 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | 51.1 | $5 | $25 | 5.1 |
| 63 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | 47.9 | $5 | $25 | 4.8 |
| 64 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | 47.6 | $5 | $25 | 4.8 |
| 65 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | 47.3 | $5 | $25 | 4.7 |
| 66 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | 50.7 | $5 | $30 | 4.5 |
| 67 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | 54.0 | $10 | $50 | 2.7 |
| 68 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | 52.9 | $10 | $50 | 2.6 |
| 69 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | 50.7 | $10 | $50 | 2.5 |
| 70 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | 35.0 | $15 | $75 | 1.2 |
| 71 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | 34.8 | $15 | $75 | 1.2 |

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

## Compare the leaders

-   [GPT-6 Luna vs GLM-5.3-Flash](https://noometry.com/compare/glm-5-3-flash-vs-gpt-6-luna)
-   [GPT-6 Luna vs Grok 4.1 Fast](https://noometry.com/compare/gpt-6-luna-vs-grok-4-1-fast)
-   [GPT-6 Luna vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-6-luna)
-   [GLM-5.3-Flash vs Grok 4.1 Fast](https://noometry.com/compare/glm-5-3-flash-vs-grok-4-1-fast)
-   [GLM-5.3-Flash vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-5-3-flash)
-   [Grok 4.1 Fast vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-grok-4-1-fast)

## Related rankings

-   [Best Cheap LLMs (Under $1 per Million Tokens)](https://noometry.com/best/cheap)
-   [Best Value LLMs](https://noometry.com/best/best-value-overall)
-   [Best Value LLMs for Coding](https://noometry.com/best/best-value-coding)
-   [Best Value LLMs for Reasoning](https://noometry.com/best/best-value-reasoning)
-   [Best Value LLMs for Math](https://noometry.com/best/best-value-math)
-   [Best Value LLMs for Knowledge](https://noometry.com/best/best-value-knowledge)
-   [Best Value LLMs for Multimodal](https://noometry.com/best/best-value-multimodal)

## Frequently asked questions

### What is the most cost-effective AI model for agents?

As of October 2026, GPT-6 Luna gives the most agentic & tool use performance per dollar: 33.3 points at a blended $0.20 per million tokens. GLM-5.3-Flash is next.

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

GPT-6 Luna, GLM-5.3-Flash, Grok 4.1 Fast, DeepSeek V4.1 Flash, DeepSeek-V3.2-Exp, in that order, as of October 2026.

### How is this list ranked?

By score per dollar: the model’s score divided by its blended API price (three parts input to one part output), among models in the top half by score.

### Cite this page

Noometry. (2026). Best Value LLMs for Agentic & Tool Use. Retrieved October 10, 2026, from https://noometry.com/best/best-value-agentic

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