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Update README with latest models (#327)

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Co-authored-by: cheahjs <818368+cheahjs@users.noreply.github.com>
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github-actions[bot]andcheahjs authored and GitHub committed 2026-06-18 00:46:23 +01:00
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@@ -54,16 +54,16 @@ Models share a common quota.
- [Llama 3.2 3B Instruct](https://openrouter.ai/meta-llama/llama-3.2-3b-instruct:free) - [Llama 3.2 3B Instruct](https://openrouter.ai/meta-llama/llama-3.2-3b-instruct:free)
- [Llama 3.3 70B Instruct](https://openrouter.ai/meta-llama/llama-3.3-70b-instruct:free) - [Llama 3.3 70B Instruct](https://openrouter.ai/meta-llama/llama-3.3-70b-instruct:free)
- [cognitivecomputations/dolphin-mistral-24b-venice-edition:free](https://openrouter.ai/cognitivecomputations/dolphin-mistral-24b-venice-edition:free) - [cognitivecomputations/dolphin-mistral-24b-venice-edition:free](https://openrouter.ai/cognitivecomputations/dolphin-mistral-24b-venice-edition:free)
- [deepseek/deepseek-v4-flash:free](https://openrouter.ai/deepseek/deepseek-v4-flash:free)
- [google/gemma-4-26b-a4b-it:free](https://openrouter.ai/google/gemma-4-26b-a4b-it:free) - [google/gemma-4-26b-a4b-it:free](https://openrouter.ai/google/gemma-4-26b-a4b-it:free)
- [google/gemma-4-31b-it:free](https://openrouter.ai/google/gemma-4-31b-it:free) - [google/gemma-4-31b-it:free](https://openrouter.ai/google/gemma-4-31b-it:free)
- [liquid/lfm-2.5-1.2b-instruct:free](https://openrouter.ai/liquid/lfm-2.5-1.2b-instruct:free) - [liquid/lfm-2.5-1.2b-instruct:free](https://openrouter.ai/liquid/lfm-2.5-1.2b-instruct:free)
- [liquid/lfm-2.5-1.2b-thinking:free](https://openrouter.ai/liquid/lfm-2.5-1.2b-thinking:free) - [liquid/lfm-2.5-1.2b-thinking:free](https://openrouter.ai/liquid/lfm-2.5-1.2b-thinking:free)
- [minimax/minimax-m2.5:free](https://openrouter.ai/minimax/minimax-m2.5:free) - [nex-agi/nex-n2-pro:free](https://openrouter.ai/nex-agi/nex-n2-pro:free)
- [moonshotai/kimi-k2.6:free](https://openrouter.ai/moonshotai/kimi-k2.6:free)
- [nvidia/nemotron-3-nano-30b-a3b:free](https://openrouter.ai/nvidia/nemotron-3-nano-30b-a3b:free) - [nvidia/nemotron-3-nano-30b-a3b:free](https://openrouter.ai/nvidia/nemotron-3-nano-30b-a3b:free)
- [nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free](https://openrouter.ai/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free) - [nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free](https://openrouter.ai/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free)
- [nvidia/nemotron-3-super-120b-a12b:free](https://openrouter.ai/nvidia/nemotron-3-super-120b-a12b:free) - [nvidia/nemotron-3-super-120b-a12b:free](https://openrouter.ai/nvidia/nemotron-3-super-120b-a12b:free)
- [nvidia/nemotron-3-ultra-550b-a55b:free](https://openrouter.ai/nvidia/nemotron-3-ultra-550b-a55b:free)
- [nvidia/nemotron-3.5-content-safety:free](https://openrouter.ai/nvidia/nemotron-3.5-content-safety:free)
- [nvidia/nemotron-nano-12b-v2-vl:free](https://openrouter.ai/nvidia/nemotron-nano-12b-v2-vl:free) - [nvidia/nemotron-nano-12b-v2-vl:free](https://openrouter.ai/nvidia/nemotron-nano-12b-v2-vl:free)
- [nvidia/nemotron-nano-9b-v2:free](https://openrouter.ai/nvidia/nemotron-nano-9b-v2:free) - [nvidia/nemotron-nano-9b-v2:free](https://openrouter.ai/nvidia/nemotron-nano-9b-v2:free)
- [openai/gpt-oss-120b:free](https://openrouter.ai/openai/gpt-oss-120b:free) - [openai/gpt-oss-120b:free](https://openrouter.ai/openai/gpt-oss-120b:free)
@@ -72,7 +72,6 @@ Models share a common quota.
- [poolside/laguna-xs.2:free](https://openrouter.ai/poolside/laguna-xs.2:free) - [poolside/laguna-xs.2:free](https://openrouter.ai/poolside/laguna-xs.2:free)
- [qwen/qwen3-coder:free](https://openrouter.ai/qwen/qwen3-coder:free) - [qwen/qwen3-coder:free](https://openrouter.ai/qwen/qwen3-coder:free)
- [qwen/qwen3-next-80b-a3b-instruct:free](https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct:free) - [qwen/qwen3-next-80b-a3b-instruct:free](https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct:free)
- [z-ai/glm-4.5-air:free](https://openrouter.ai/z-ai/glm-4.5-air:free)
### [Google AI Studio](https://aistudio.google.com) ### [Google AI Studio](https://aistudio.google.com)
@@ -173,6 +172,7 @@ Free models may use data for improvement.
<tr><td>openai/gpt-oss-20b</td><td>1,000 requests/day<br>8,000 tokens/minute</td></tr> <tr><td>openai/gpt-oss-20b</td><td>1,000 requests/day<br>8,000 tokens/minute</td></tr>
<tr><td>openai/gpt-oss-safeguard-20b</td><td>1,000 requests/day<br>8,000 tokens/minute</td></tr> <tr><td>openai/gpt-oss-safeguard-20b</td><td>1,000 requests/day<br>8,000 tokens/minute</td></tr>
<tr><td>qwen/qwen3-32b</td><td>1,000 requests/day<br>6,000 tokens/minute</td></tr> <tr><td>qwen/qwen3-32b</td><td>1,000 requests/day<br>6,000 tokens/minute</td></tr>
<tr><td>qwen/qwen3.6-27b</td><td>1,000 requests/day<br>8,000 tokens/minute</td></tr>
</tbody></table> </tbody></table>
### [Cohere](https://cohere.com) ### [Cohere](https://cohere.com)
@@ -201,22 +201,16 @@ Extremely restrictive input/output token limits.
**Limits:** [Dependent on Copilot subscription tier (Free/Pro/Pro+/Business/Enterprise)](https://docs.github.com/en/github-models/prototyping-with-ai-models#rate-limits) **Limits:** [Dependent on Copilot subscription tier (Free/Pro/Pro+/Business/Enterprise)](https://docs.github.com/en/github-models/prototyping-with-ai-models#rate-limits)
- AI21 Jamba 1.5 Large
- Codestral 25.01 - Codestral 25.01
- Cohere Command A - Cohere Command A
- Cohere Command R 08-2024
- Cohere Command R+ 08-2024
- DeepSeek-R1 - DeepSeek-R1
- DeepSeek-R1-0528 - DeepSeek-R1-0528
- DeepSeek-V3-0324 - DeepSeek-V3-0324
- Grok 3
- Grok 3 Mini
- Llama 4 Maverick 17B 128E Instruct FP8 - Llama 4 Maverick 17B 128E Instruct FP8
- Llama 4 Scout 17B 16E Instruct - Llama 4 Scout 17B 16E Instruct
- Llama-3.2-11B-Vision-Instruct - Llama-3.2-11B-Vision-Instruct
- Llama-3.2-90B-Vision-Instruct - Llama-3.2-90B-Vision-Instruct
- Llama-3.3-70B-Instruct - Llama-3.3-70B-Instruct
- MAI-DS-R1
- Meta-Llama-3.1-405B-Instruct - Meta-Llama-3.1-405B-Instruct
- Meta-Llama-3.1-8B-Instruct - Meta-Llama-3.1-8B-Instruct
- Ministral 3B - Ministral 3B
@@ -252,25 +246,18 @@ Extremely restrictive input/output token limits.
- @cf/aisingapore/gemma-sea-lion-v4-27b-it - @cf/aisingapore/gemma-sea-lion-v4-27b-it
- @cf/google/gemma-4-26b-a4b-it - @cf/google/gemma-4-26b-a4b-it
- @cf/ibm-granite/granite-4.0-h-micro - @cf/ibm-granite/granite-4.0-h-micro
- @cf/moonshotai/kimi-k2.5
- @cf/moonshotai/kimi-k2.6 - @cf/moonshotai/kimi-k2.6
- @cf/moonshotai/kimi-k2.7-code
- @cf/nvidia/nemotron-3-120b-a12b - @cf/nvidia/nemotron-3-120b-a12b
- @cf/openai/gpt-oss-120b - @cf/openai/gpt-oss-120b
- @cf/openai/gpt-oss-20b - @cf/openai/gpt-oss-20b
- @cf/qwen/qwen3-30b-a3b-fp8 - @cf/qwen/qwen3-30b-a3b-fp8
- @cf/zai-org/glm-4.7-flash - @cf/zai-org/glm-4.7-flash
- @cf/zai-org/glm-5.2
- DeepSeek R1 Distill Qwen 32B - DeepSeek R1 Distill Qwen 32B
- Gemma 2B Instruct (LoRA) - Gemma 2B Instruct (LoRA)
- Gemma 3 12B Instruct
- Gemma 7B Instruct
- Gemma 7B Instruct (LoRA) - Gemma 7B Instruct (LoRA)
- Hermes 2 Pro Mistral 7B
- Llama 2 7B Chat (FP16)
- Llama 2 7B Chat (INT8)
- Llama 2 7B Chat (LoRA) - Llama 2 7B Chat (LoRA)
- Llama 3 8B Instruct
- Llama 3 8B Instruct (AWQ)
- Llama 3.1 8B Instruct (AWQ)
- Llama 3.1 8B Instruct (FP8) - Llama 3.1 8B Instruct (FP8)
- Llama 3.2 11B Vision Instruct - Llama 3.2 11B Vision Instruct
- Llama 3.2 1B Instruct - Llama 3.2 1B Instruct
@@ -278,14 +265,10 @@ Extremely restrictive input/output token limits.
- Llama 3.3 70B Instruct (FP8) - Llama 3.3 70B Instruct (FP8)
- Llama 4 Scout Instruct - Llama 4 Scout Instruct
- Llama Guard 3 8B - Llama Guard 3 8B
- Mistral 7B Instruct v0.1
- Mistral 7B Instruct v0.2
- Mistral 7B Instruct v0.2 (LoRA) - Mistral 7B Instruct v0.2 (LoRA)
- Mistral Small 3.1 24B Instruct - Mistral Small 3.1 24B Instruct
- Phi-2
- Qwen 2.5 Coder 32B Instruct - Qwen 2.5 Coder 32B Instruct
- Qwen QwQ 32B - Qwen QwQ 32B
- SQLCoder 7B 2
</tbody></table> </tbody></table>
@@ -372,9 +355,8 @@ Extremely restrictive input/output token limits.
**Models:** **Models:**
- deepseek-v3.1 - deepseek-v3.1
- deepseek-v3.2 - deepseek-v3.2
- gemma-3-12b-it - gemma-4-31b-it
- gpt-oss-120b - gpt-oss-120b
- llama-4-maverick-17b-128e-instruct
- meta-llama-3.3-70b-instruct - meta-llama-3.3-70b-instruct
- minimax-m2.7 - minimax-m2.7