Skip to content

Commit 4654315

Browse files
sunbryesunbrye
authored
Tented model 005 (#57974)
1 parent a415892 commit 4654315

File tree

6 files changed

+48
-40
lines changed

6 files changed

+48
-40
lines changed

‎content/copilot/reference/ai-models/model-comparison.md‎

Lines changed: 25 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -27,24 +27,25 @@ contentType: reference
2727

2828
Use this table to find a suitable model quickly, see more detail in the sections below.
2929

30-
| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
31-
|--------------------------------------------------------|----------------------------------------------|-------------------------------------------------------------------------|-------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
32-
| {% data variables.copilot.copilot_gpt_41 %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/) |
33-
| {% data variables.copilot.copilot_gpt_5_codex %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_gpt_5_codex %} model card](https://cdn.openai.com/pdf/97cc5669-7a25-4e63-b15f-5fd5bdc4d149/gpt-5-codex-system-card.pdf) |
34-
| {% data variables.copilot.copilot_gpt_5_mini %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, reasoning, vision | [{% data variables.copilot.copilot_gpt_5_mini %} model card](https://cdn.openai.com/gpt-5-system-card.pdf) |
35-
| {% data variables.copilot.copilot_gpt_5 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/gpt-5-system-card.pdf) |
36-
| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
37-
| {% data variables.copilot.copilot_o4_mini %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
38-
| {% data variables.copilot.copilot_claude_sonnet_45 %} | General-purpose coding and agent tasks | Complex problem-solving challenges, sophisticated reasoning | Agent mode | [{% data variables.copilot.copilot_claude_sonnet_45 %} model card](https://assets.anthropic.com/m/12f214efcc2f457a/original/Claude-Sonnet-4-5-System-Card.pdf) |
39-
| {% data variables.copilot.copilot_claude_opus_41 %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
40-
| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
41-
| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
42-
| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
43-
| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
44-
| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
45-
| {% data variables.copilot.copilot_gemini_flash %} | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
46-
| {% data variables.copilot.copilot_grok_code %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf) |
47-
| {% data variables.copilot.copilot_qwen_25 %} | General-purpose coding and writing | Code generation, reasoning, and code repair / debugging | Reasoning | [{% data variables.copilot.copilot_qwen_25 %} model card](https://arxiv.org/pdf/2409.12186)
30+
| Model | Task area | Excels at (primary use case) | Additional capabilities | Further reading |
31+
|-------------------------------------------------------|--------------------------------------------------|-------------------------------------------------------------------------|-------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
32+
| {% data variables.copilot.copilot_gpt_41 %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, vision | [{% data variables.copilot.copilot_gpt_41 %} model card](https://openai.com/index/gpt-4-1/) |
33+
| {% data variables.copilot.copilot_gpt_5_codex %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_gpt_5_codex %} model card](https://cdn.openai.com/pdf/97cc5669-7a25-4e63-b15f-5fd5bdc4d149/gpt-5-codex-system-card.pdf) |
34+
| {% data variables.copilot.copilot_gpt_5_mini %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode, reasoning, vision | [{% data variables.copilot.copilot_gpt_5_mini %} model card](https://cdn.openai.com/gpt-5-system-card.pdf) |
35+
| {% data variables.copilot.copilot_gpt_5 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_gpt_5 %} model card](https://cdn.openai.com/gpt-5-system-card.pdf) |
36+
| {% data variables.copilot.copilot_o3 %} | Deep reasoning and debugging | Multi-step problem solving and architecture-level code analysis | Reasoning | [{% data variables.copilot.copilot_o3 %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
37+
| {% data variables.copilot.copilot_o4_mini %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Lower latency | [{% data variables.copilot.copilot_o4_mini %} model card](https://openai.com/index/o3-o4-mini-system-card/) |
38+
| {% data variables.copilot.copilot_claude_haiku_45 %} | Fast help with simple or repetitive tasks | Fast, reliable answers to lightweight coding questions | Agent mode | Not available |
39+
| {% data variables.copilot.copilot_claude_sonnet_45 %} | General-purpose coding and agent tasks | Complex problem-solving challenges, sophisticated reasoning | Agent mode | [{% data variables.copilot.copilot_claude_sonnet_45 %} model card](https://assets.anthropic.com/m/12f214efcc2f457a/original/Claude-Sonnet-4-5-System-Card.pdf) |
40+
| {% data variables.copilot.copilot_claude_opus_41 %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus_41 %} model card](https://assets.anthropic.com/m/4c024b86c698d3d4/original/Claude-4-1-System-Card.pdf) |
41+
| {% data variables.copilot.copilot_claude_opus %} | Deep reasoning and debugging | Complex problem-solving challenges, sophisticated reasoning | Reasoning, vision | [{% data variables.copilot.copilot_claude_opus %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
42+
| {% data variables.copilot.copilot_claude_sonnet_35 %} | Fast help with simple or repetitive tasks | Quick responses for code, syntax, and documentation | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_35 %} model card](https://www-cdn.anthropic.com/fed9cc193a14b84131812372d8d5857f8f304c52/Model_Card_Claude_3_Addendum.pdf) |
43+
| {% data variables.copilot.copilot_claude_sonnet_37 %} | Deep reasoning and debugging | Structured reasoning across large, complex codebases | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_37 %} model card](https://assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf) |
44+
| {% data variables.copilot.copilot_claude_sonnet_40 %} | Deep reasoning and debugging | Performance and practicality, perfectly balanced for coding workflows | Agent mode, vision | [{% data variables.copilot.copilot_claude_sonnet_40 %} model card](https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdf) |
45+
| {% data variables.copilot.copilot_gemini_25_pro %} | Deep reasoning and debugging | Complex code generation, debugging, and research workflows | Reasoning, vision | [{% data variables.copilot.copilot_gemini_25_pro %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro.pdf) |
46+
| {% data variables.copilot.copilot_gemini_flash %} | Working with visuals (diagrams, screenshots) | Real-time responses and visual reasoning for UI and diagram-based tasks | Vision | [{% data variables.copilot.copilot_gemini_flash %} model card](https://storage.googleapis.com/model-cards/documents/gemini-2-flash.pdf) |
47+
| {% data variables.copilot.copilot_grok_code %} | General-purpose coding and writing | Fast, accurate code completions and explanations | Agent mode | [{% data variables.copilot.copilot_grok_code %} model card](https://data.x.ai/2025-08-20-grok-4-model-card.pdf) |
48+
| {% data variables.copilot.copilot_qwen_25 %} | General-purpose coding and writing | Code generation, reasoning, and code repair / debugging | Reasoning | [{% data variables.copilot.copilot_qwen_25 %} model card](https://arxiv.org/pdf/2409.12186) |
4849

4950
## Task: General-purpose coding and writing
5051

@@ -78,11 +79,12 @@ These models are optimized for speed and responsiveness. They’re ideal for qui
7879

7980
### Recommended models
8081

81-
| Model | Why it's a good fit |
82-
|-----------------------------------------------------------|------------------------------------------------------------------------------------------------------------|
83-
| {% data variables.copilot.copilot_o4_mini %} | A quick and cost-effective model for repetitive or simple coding tasks. Offers clear, concise suggestions. |
84-
| {% data variables.copilot.copilot_claude_sonnet_35 %} | Balances fast responses with quality output. Ideal for small tasks and lightweight code explanations. |
85-
| {% data variables.copilot.copilot_gemini_flash %} | Extremely low latency and multimodal support (where available). Great for fast, interactive feedback. |
82+
| Model | Why it's a good fit |
83+
|-------------------------------------------------------|------------------------------------------------------------------------------------------------------------|
84+
| {% data variables.copilot.copilot_o4_mini %} | A quick and cost-effective model for repetitive or simple coding tasks. Offers clear, concise suggestions. |
85+
| {% data variables.copilot.copilot_claude_haiku_45 %} | Balances fast responses with quality output. Ideal for small tasks and lightweight code explanations. |
86+
| {% data variables.copilot.copilot_claude_sonnet_35 %} | Balances fast responses with quality output. Ideal for small tasks and lightweight code explanations. |
87+
| {% data variables.copilot.copilot_gemini_flash %} | Extremely low latency and multimodal support (where available). Great for fast, interactive feedback. |
8688

8789
### When to use these models
8890

‎content/copilot/reference/ai-models/model-hosting.md‎

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -35,6 +35,7 @@ When using OpenAI's models, input requests and output responses continue to run
3535

3636
Used for:
3737

38+
* {% data variables.copilot.copilot_claude_haiku_45 %}
3839
* {% data variables.copilot.copilot_claude_sonnet_45 %}
3940
* {% data variables.copilot.copilot_claude_opus_41 %}
4041
* {% data variables.copilot.copilot_claude_opus %}
@@ -43,7 +44,7 @@ Used for:
4344
* {% data variables.copilot.copilot_claude_sonnet_37 %} Thinking
4445
* {% data variables.copilot.copilot_claude_sonnet_40 %}
4546

46-
{% data variables.copilot.copilot_claude_opus_41 %} is hosted by Anthropic PBC. {% data variables.copilot.copilot_claude_opus %} and {% data variables.copilot.copilot_claude_sonnet_40 %} are hosted by Anthropic PBC and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_45 %} and {% data variables.copilot.copilot_claude_sonnet_37 %} are hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_35 %} is hosted exclusively by Amazon Web Services. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
47+
{% data variables.copilot.copilot_claude_haiku_45 %} and {% data variables.copilot.copilot_claude_opus_41 %} are hosted by Anthropic PBC. {% data variables.copilot.copilot_claude_opus %} and {% data variables.copilot.copilot_claude_sonnet_40 %} are hosted by Anthropic PBC and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_45 %} and {% data variables.copilot.copilot_claude_sonnet_37 %} are hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_35 %} is hosted exclusively by Amazon Web Services. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
4748

4849
* Amazon Bedrock: Amazon makes the [following data commitments](https://docs.aws.amazon.com/bedrock/latest/userguide/data-protection.html): _Amazon Bedrock doesn't store or log your prompts and completions. Amazon Bedrock doesn't use your prompts and completions to train any AWS models and doesn't distribute them to third parties_.
4950
* Anthropic PBC: {% data variables.product.github %} maintains a [zero data retention agreement](https://privacy.anthropic.com/en/articles/8956058-i-have-a-zero-retention-agreement-with-anthropic-what-products-does-it-apply-to) with Anthropic.

0 commit comments

Comments
 (0)