Model Capabilities
What copair knows about each model out of the box.
Copair derives most per-model behaviour from generic logic (tier classifier, family-prefix format selection, tier-driven harness defaults). For values that genuinely vary per family — context window, output token limit, native-tool-calling reliability — copair ships the values below.
Honest caveat: values are conservative when uncertain. If copair ships e.g. 16k output for a model that actually supports more, override via model_overrides in your config. See config docs.
Run copair --explain-model <id> for the full resolution trace on any model ID — useful for debugging "why did copair pick X for my model?"
Frontier cloud (closed-source)
Hosted vendor APIs with reliable native tool calling. Copair uses the provider SDK directly rather than text-extraction formatters.
Anthropic Claude Opus (modern)
/^claude-opus/ctx 200kout 32ktool reliable
Anthropic Claude Opus (modern)
/^claude-opus/ctx 200kout 32ktool reliable
pattern
^claude-opuscontext_window200,000 tokens
max_tokens32,000 tokens
native_tool_callingreliable
Anthropic Claude Sonnet / Haiku (modern)
/^claude-(?:sonnet|haiku)/ctx 200kout 64ktool reliable
Anthropic Claude Sonnet / Haiku (modern)
/^claude-(?:sonnet|haiku)/ctx 200kout 64ktool reliable
pattern
^claude-(?:sonnet|haiku)context_window200,000 tokens
max_tokens64,000 tokens
native_tool_callingreliable
Anthropic Claude 3.x
/^claude-3/ctx 200kout 8.2ktool reliable
Anthropic Claude 3.x
/^claude-3/ctx 200kout 8.2ktool reliable
pattern
^claude-3context_window200,000 tokens
max_tokens8,192 tokens
native_tool_callingreliable
OpenAI GPT-5 Mini
/^gpt-5-mini/ctx 400kout 4.1ktool reliable
OpenAI GPT-5 Mini
/^gpt-5-mini/ctx 400kout 4.1ktool reliable
pattern
^gpt-5-minicontext_window400,000 tokens
max_tokens4,096 tokens
native_tool_callingreliable
OpenAI GPT-5
/^gpt-5/ctx 400kout 16.4ktool reliable
OpenAI GPT-5
/^gpt-5/ctx 400kout 16.4ktool reliable
pattern
^gpt-5context_window400,000 tokens
max_tokens16,384 tokens
native_tool_callingreliable
OpenAI GPT-4o
/^gpt-4o/ctx 128kout 16.4ktool reliable
OpenAI GPT-4o
/^gpt-4o/ctx 128kout 16.4ktool reliable
pattern
^gpt-4ocontext_window128,000 tokens
max_tokens16,384 tokens
native_tool_callingreliable
OpenAI GPT-4
/^gpt-4/ctx 128kout 8.2ktool reliable
OpenAI GPT-4
/^gpt-4/ctx 128kout 8.2ktool reliable
pattern
^gpt-4context_window128,000 tokens
max_tokens8,192 tokens
native_tool_callingreliable
OpenAI o-series
/^o[134](?:-mini|-pro)?\b/ctx 200kout 32ktool reliable
OpenAI o-series
/^o[134](?:-mini|-pro)?\b/ctx 200kout 32ktool reliable
pattern
^o[134](?:-mini|-pro)?\bcontext_window200,000 tokens
max_tokens32,000 tokens
native_tool_callingreliable
Google Gemini 2.5+
/^gemini-(?:2-5|3)/ctx 1Mout 65.5ktool reliable
Google Gemini 2.5+
/^gemini-(?:2-5|3)/ctx 1Mout 65.5ktool reliable
pattern
^gemini-(?:2-5|3)context_window1,000,000 tokens
max_tokens65,536 tokens
native_tool_callingreliable
Google Gemini 2.x
/^gemini-2/ctx 1Mout 8.2ktool reliable
Google Gemini 2.x
/^gemini-2/ctx 1Mout 8.2ktool reliable
pattern
^gemini-2context_window1,000,000 tokens
max_tokens8,192 tokens
native_tool_callingreliable
xAI Grok 4
/^grok-4/ctx 256kout 16.4ktool reliable
xAI Grok 4
/^grok-4/ctx 256kout 16.4ktool reliable
pattern
^grok-4context_window256,000 tokens
max_tokens16,384 tokens
native_tool_callingreliable
xAI Grok 1-3
/^grok-[1-3]/ctx 131.1kout 8.2ktool reliable
xAI Grok 1-3
/^grok-[1-3]/ctx 131.1kout 8.2ktool reliable
pattern
^grok-[1-3]context_window131,072 tokens
max_tokens8,192 tokens
native_tool_callingreliable
Moonshot Kimi K2
/^kimi-k2/ctx 200kout 16.4k
Moonshot Kimi K2
/^kimi-k2/ctx 200kout 16.4k
pattern
^kimi-k2context_window200,000 tokens
max_tokens16,384 tokens
MiniMax M1
/^minimax-m1/ctx 1Mout 16.4k
MiniMax M1
/^minimax-m1/ctx 1Mout 16.4k
pattern
^minimax-m1context_window1,000,000 tokens
max_tokens16,384 tokens
MiniMax M2+
/^minimax-m[2-9]/ctx 200kout 16.4k
MiniMax M2+
/^minimax-m[2-9]/ctx 200kout 16.4k
pattern
^minimax-m[2-9]context_window200,000 tokens
max_tokens16,384 tokens
gpt-oss (open-weight)
/^gpt-?oss-?(?:20|120)b/ctx 131.1kout 8.2k
gpt-oss (open-weight)
/^gpt-?oss-?(?:20|120)b/ctx 131.1kout 8.2k
pattern
^gpt-?oss-?(?:20|120)bcontext_window131,072 tokens
max_tokens8,192 tokens
Frontier open-weight (large)
Large open-weight models (typically 30B+ parameters). Tool calling tends to be unreliable; copair uses text-extraction with qwen-xml or dsml format depending on family.
Qwen3-Coder 480B
/^qwen3-coder-480b/ctx 262.1kout 32.8k
Qwen3-Coder 480B
/^qwen3-coder-480b/ctx 262.1kout 32.8k
pattern
^qwen3-coder-480bcontext_window262,144 tokens
max_tokens32,768 tokens
Qwen3 235B
/^qwen3-(?:vl-)?235b/ctx 262.1kout 16.4k
Qwen3 235B
/^qwen3-(?:vl-)?235b/ctx 262.1kout 16.4k
pattern
^qwen3-(?:vl-)?235bcontext_window262,144 tokens
max_tokens16,384 tokens
Qwen3-Next 80B
/^qwen3-next-80b/ctx 262.1kout 16.4k
Qwen3-Next 80B
/^qwen3-next-80b/ctx 262.1kout 16.4k
pattern
^qwen3-next-80bcontext_window262,144 tokens
max_tokens16,384 tokens
Alibaba Qwen-Plus / Qwen-Turbo (1M context, Qwen3+ defaults)
/^qwen-(?:plus|turbo)/ctx 1Mout 8.2k
Alibaba Qwen-Plus / Qwen-Turbo (1M context, Qwen3+ defaults)
/^qwen-(?:plus|turbo)/ctx 1Mout 8.2k
pattern
^qwen-(?:plus|turbo)context_window1,000,000 tokens
max_tokens8,192 tokens
Alibaba Qwen3-Max
/^qwen3-max/ctx 262.1kout 32.8k
Alibaba Qwen3-Max
/^qwen3-max/ctx 262.1kout 32.8k
pattern
^qwen3-maxcontext_window262,144 tokens
max_tokens32,768 tokens
Mistral / Pixtral Large
/^(?:mistral|pixtral)-large/ctx 131.1kout 8.2k
Mistral / Pixtral Large
/^(?:mistral|pixtral)-large/ctx 131.1kout 8.2k
pattern
^(?:mistral|pixtral)-largecontext_window131,072 tokens
max_tokens8,192 tokens
Small open-weight (≤ ~14B)
Small open-weight models. The small-model harness auto-engages: max-turn cap, ask_user / task_complete tools, per-turn format reminders.
Qwen3-Coder 30B
/^qwen3-coder-30b/ctx 262.1kout 16.4k
Qwen3-Coder 30B
/^qwen3-coder-30b/ctx 262.1kout 16.4k
pattern
^qwen3-coder-30bcontext_window262,144 tokens
max_tokens16,384 tokens
Qwen3 32B/30B
/^qwen3-(?:vl-)?(?:30b-a3b|32b)/ctx 131.1kout 8.2k
Qwen3 32B/30B
/^qwen3-(?:vl-)?(?:30b-a3b|32b)/ctx 131.1kout 8.2k
pattern
^qwen3-(?:vl-)?(?:30b-a3b|32b)context_window131,072 tokens
max_tokens8,192 tokens
Qwen2/2.5 32B/72B
/^qwen2(?:-5)?-(?:coder-)?(?:32b|72b)/ctx 131.1kout 8.2k
Qwen2/2.5 32B/72B
/^qwen2(?:-5)?-(?:coder-)?(?:32b|72b)/ctx 131.1kout 8.2k
pattern
^qwen2(?:-5)?-(?:coder-)?(?:32b|72b)context_window131,072 tokens
max_tokens8,192 tokens
Qwen3 small (0.6B–14B)
/^qwen3-(?:vl-)?(?:0-6|1-7|4|8|14)b/ctx 131.1kout 8.2k
Qwen3 small (0.6B–14B)
/^qwen3-(?:vl-)?(?:0-6|1-7|4|8|14)b/ctx 131.1kout 8.2k
pattern
^qwen3-(?:vl-)?(?:0-6|1-7|4|8|14)bcontext_window131,072 tokens
max_tokens8,192 tokens
Qwen2/2.5 7B/14B
/^qwen2(?:-5)?-(?:coder-)?(?:7|14)b/ctx 131.1kout 8.2k
Qwen2/2.5 7B/14B
/^qwen2(?:-5)?-(?:coder-)?(?:7|14)b/ctx 131.1kout 8.2k
pattern
^qwen2(?:-5)?-(?:coder-)?(?:7|14)bcontext_window131,072 tokens
max_tokens8,192 tokens
DeepSeek frontier (V3.x / R1)
/^deepseek-(?:v[34]|r[12])(?!.*-distill)/ctx 131.1kout 8.2k
DeepSeek frontier (V3.x / R1)
/^deepseek-(?:v[34]|r[12])(?!.*-distill)/ctx 131.1kout 8.2k
pattern
^deepseek-(?:v[34]|r[12])(?!.*-distill)context_window131,072 tokens
max_tokens8,192 tokens
DeepSeek API alias
/^deepseek-(?:chat|reasoner)/ctx 131.1kout 8.2k
DeepSeek API alias
/^deepseek-(?:chat|reasoner)/ctx 131.1kout 8.2k
pattern
^deepseek-(?:chat|reasoner)context_window131,072 tokens
max_tokens8,192 tokens
DeepSeek R1 distill ≤8B
/^deepseek-r1.*?-(?:1-5|7|8)b/ctx 131.1kout 8.2k
DeepSeek R1 distill ≤8B
/^deepseek-r1.*?-(?:1-5|7|8)b/ctx 131.1kout 8.2k
pattern
^deepseek-r1.*?-(?:1-5|7|8)bcontext_window131,072 tokens
max_tokens8,192 tokens
DeepSeek R1 distill ≥14B
/^deepseek-r1.*?-(?:14|32|70)b/ctx 131.1kout 8.2k
DeepSeek R1 distill ≥14B
/^deepseek-r1.*?-(?:14|32|70)b/ctx 131.1kout 8.2k
pattern
^deepseek-r1.*?-(?:14|32|70)bcontext_window131,072 tokens
max_tokens8,192 tokens
DeepSeek Coder 1.3B
/^deepseek-coder-1-3b/ctx 16.4k
DeepSeek Coder 1.3B
/^deepseek-coder-1-3b/ctx 16.4k
pattern
^deepseek-coder-1-3bcontext_window16,384 tokens
Llama 4 Scout (10M context — longest open-weight as of 2025)
/^llama-?4-scout/ctx 10Mout 8.2k
Llama 4 Scout (10M context — longest open-weight as of 2025)
/^llama-?4-scout/ctx 10Mout 8.2k
pattern
^llama-?4-scoutcontext_window10,000,000 tokens
max_tokens8,192 tokens
Llama 4 Maverick
/^llama-?4-maverick/ctx 1Mout 8.2k
Llama 4 Maverick
/^llama-?4-maverick/ctx 1Mout 8.2k
pattern
^llama-?4-maverickcontext_window1,000,000 tokens
max_tokens8,192 tokens
Llama 3.x large (70B+)
/^llama-?[34](?:-\d+)*-(?:70b|72b|90b|405b)/ctx 131.1kout 8.2k
Llama 3.x large (70B+)
/^llama-?[34](?:-\d+)*-(?:70b|72b|90b|405b)/ctx 131.1kout 8.2k
pattern
^llama-?[34](?:-\d+)*-(?:70b|72b|90b|405b)context_window131,072 tokens
max_tokens8,192 tokens
Llama 3.x small
/^llama-?[34](?:-\d+)*-(?:1b|3b|7b|8b|11b)/ctx 131.1kout 8.2k
Llama 3.x small
/^llama-?[34](?:-\d+)*-(?:1b|3b|7b|8b|11b)/ctx 131.1kout 8.2k
pattern
^llama-?[34](?:-\d+)*-(?:1b|3b|7b|8b|11b)context_window131,072 tokens
max_tokens8,192 tokens
Mistral Codestral
/^codestral/ctx 256kout 16.4k
Mistral Codestral
/^codestral/ctx 256kout 16.4k
pattern
^codestralcontext_window256,000 tokens
max_tokens16,384 tokens
Mistral Magistral (reasoning model)
/^magistral-(?:medium|small)/ctx 131.1kout 16.4k
Mistral Magistral (reasoning model)
/^magistral-(?:medium|small)/ctx 131.1kout 16.4k
pattern
^magistral-(?:medium|small)context_window131,072 tokens
max_tokens16,384 tokens
Mistral Pixtral 12B (vision)
/^pixtral-12b/ctx 128kout 8.2k
Mistral Pixtral 12B (vision)
/^pixtral-12b/ctx 128kout 8.2k
pattern
^pixtral-12bcontext_window128,000 tokens
max_tokens8,192 tokens
Mistral Medium / Small 3+
/^mistral-(?:medium|small-[34])/ctx 131.1kout 8.2k
Mistral Medium / Small 3+
/^mistral-(?:medium|small-[34])/ctx 131.1kout 8.2k
pattern
^mistral-(?:medium|small-[34])context_window131,072 tokens
max_tokens8,192 tokens
Mistral Nemo 12B
/^mistral-nemo/ctx 131.1kout 8.2k
Mistral Nemo 12B
/^mistral-nemo/ctx 131.1kout 8.2k
pattern
^mistral-nemocontext_window131,072 tokens
max_tokens8,192 tokens
Mixtral 8x22B
/^mixtral-8x22b/ctx 65.5kout 8.2k
Mixtral 8x22B
/^mixtral-8x22b/ctx 65.5kout 8.2k
pattern
^mixtral-8x22bcontext_window65,536 tokens
max_tokens8,192 tokens
Mixtral 8x7B
/^mixtral-8x7b/ctx 32.8k
Mixtral 8x7B
/^mixtral-8x7b/ctx 32.8k
pattern
^mixtral-8x7bcontext_window32,768 tokens
Ministral
/^ministral-(?:3|7|14)b/ctx 131.1kout 8.2k
Ministral
/^ministral-(?:3|7|14)b/ctx 131.1kout 8.2k
pattern
^ministral-(?:3|7|14)bcontext_window131,072 tokens
max_tokens8,192 tokens
GLM 4.5+
/^glm-(?:[5-9]|4-[5-9])/ctx 131.1kout 8.2k
GLM 4.5+
/^glm-(?:[5-9]|4-[5-9])/ctx 131.1kout 8.2k
pattern
^glm-(?:[5-9]|4-[5-9])context_window131,072 tokens
max_tokens8,192 tokens
GLM-4 9B
/^glm-4-9b/ctx 131.1kout 8.2k
GLM-4 9B
/^glm-4-9b/ctx 131.1kout 8.2k
pattern
^glm-4-9bcontext_window131,072 tokens
max_tokens8,192 tokens
Phi-4 small
/^phi-?4-(?:mini|multimodal)/ctx 131.1k
Phi-4 small
/^phi-?4-(?:mini|multimodal)/ctx 131.1k
pattern
^phi-?4-(?:mini|multimodal)context_window131,072 tokens
Phi-4 14B
/^phi-?4(?:-14b)?\b/ctx 131.1kout 8.2k
Phi-4 14B
/^phi-?4(?:-14b)?\b/ctx 131.1kout 8.2k
pattern
^phi-?4(?:-14b)?\bcontext_window131,072 tokens
max_tokens8,192 tokens
Phi-3 small
/^phi-?3(?:-5)?-(?:mini|small)/ctx 131.1k
Phi-3 small
/^phi-?3(?:-5)?-(?:mini|small)/ctx 131.1k
pattern
^phi-?3(?:-5)?-(?:mini|small)context_window131,072 tokens
Gemma 3
/^gemma-?[3]-?(?:1b|2b|4b|9b|12b|27b)/ctx 131.1kout 8.2k
Gemma 3
/^gemma-?[3]-?(?:1b|2b|4b|9b|12b|27b)/ctx 131.1kout 8.2k
pattern
^gemma-?[3]-?(?:1b|2b|4b|9b|12b|27b)context_window131,072 tokens
max_tokens8,192 tokens
Gemma 2 large (8k context — predates extended-context release)
/^gemma-?2-?(?:9b|27b)/ctx 8.2kout 8.2k
Gemma 2 large (8k context — predates extended-context release)
/^gemma-?2-?(?:9b|27b)/ctx 8.2kout 8.2k
pattern
^gemma-?2-?(?:9b|27b)context_window8,192 tokens
max_tokens8,192 tokens
Gemma 2 small (8k context)
/^gemma-?2-?(?:2b|4b)/ctx 8.2k
Gemma 2 small (8k context)
/^gemma-?2-?(?:2b|4b)/ctx 8.2k
pattern
^gemma-?2-?(?:2b|4b)context_window8,192 tokens
Cohere Command R+ / R7B / A
/^command-(?:a|r-plus|r7b)/ctx 128k
Cohere Command R+ / R7B / A
/^command-(?:a|r-plus|r7b)/ctx 128k
pattern
^command-(?:a|r-plus|r7b)context_window128,000 tokens
Cohere Command R
/^command-r/ctx 128k
Cohere Command R
/^command-r/ctx 128k
pattern
^command-rcontext_window128,000 tokens
IBM Granite 3+/4 small-to-mid
/^granite-?[34](?:-\d+)*-(?:2|3|8|30)b/ctx 131.1kout 8.2k
IBM Granite 3+/4 small-to-mid
/^granite-?[34](?:-\d+)*-(?:2|3|8|30)b/ctx 131.1kout 8.2k
pattern
^granite-?[34](?:-\d+)*-(?:2|3|8|30)bcontext_window131,072 tokens
max_tokens8,192 tokens
NVIDIA Nemotron (any size)
/^nemotron/ctx 131.1kout 8.2k
NVIDIA Nemotron (any size)
/^nemotron/ctx 131.1kout 8.2k
pattern
^nemotroncontext_window131,072 tokens
max_tokens8,192 tokens
Llama-Nemotron variants
/^(?:llama-?[34](?:-\d+)*-)?nemotron/ctx 131.1kout 8.2k
Llama-Nemotron variants
/^(?:llama-?[34](?:-\d+)*-)?nemotron/ctx 131.1kout 8.2k
pattern
^(?:llama-?[34](?:-\d+)*-)?nemotroncontext_window131,072 tokens
max_tokens8,192 tokens
AI21 Jamba Large / Mini
/^jamba-?(?:large|2-?large|mini|2-?mini)/ctx 256kout 8.2k
AI21 Jamba Large / Mini
/^jamba-?(?:large|2-?large|mini|2-?mini)/ctx 256kout 8.2k
pattern
^jamba-?(?:large|2-?large|mini|2-?mini)context_window256,000 tokens
max_tokens8,192 tokens
Amazon Nova Pro/Premier/Lite
/^nova-(?:pro|premier|lite)/ctx 300kout 8.2k
Amazon Nova Pro/Premier/Lite
/^nova-(?:pro|premier|lite)/ctx 300kout 8.2k
pattern
^nova-(?:pro|premier|lite)context_window300,000 tokens
max_tokens8,192 tokens
Amazon Nova Micro
/^nova-micro/ctx 128k
Amazon Nova Micro
/^nova-micro/ctx 128k
pattern
^nova-microcontext_window128,000 tokens
Reka
/^reka-(?:core|flash|edge)/ctx 131.1kout 8.2k
Reka
/^reka-(?:core|flash|edge)/ctx 131.1kout 8.2k
pattern
^reka-(?:core|flash|edge)context_window131,072 tokens
max_tokens8,192 tokens
Yi-Coder small
/^yi-coder-(?:1-5|9)b/ctx 131.1kout 8.2k
Yi-Coder small
/^yi-coder-(?:1-5|9)b/ctx 131.1kout 8.2k
pattern
^yi-coder-(?:1-5|9)bcontext_window131,072 tokens
max_tokens8,192 tokens
Cohere Aya Expanse 8B / 32B
/^aya-(?:expanse-)?(?:8b|32b)/ctx 131.1kout 8.2k
Cohere Aya Expanse 8B / 32B
/^aya-(?:expanse-)?(?:8b|32b)/ctx 131.1kout 8.2k
pattern
^aya-(?:expanse-)?(?:8b|32b)context_window131,072 tokens
max_tokens8,192 tokens
BigCode StarCoder2 (3B/7B/15B) — note: 16k context, smaller than safe default
/^starcoder-?2/ctx 16.4k
BigCode StarCoder2 (3B/7B/15B) — note: 16k context, smaller than safe default
/^starcoder-?2/ctx 16.4k
pattern
^starcoder-?2context_window16,384 tokens
Models not listed here
If copair recognizes the model's family (it matches a classifier rule) but the family isn't a row above, the unset fields fall back to safe defaults — 32k context, 4k output, fenced-block format — while the tier comes from the family rule. Override any field per model via your config — see the configuration reference.
A model copair doesn't recognize at all stops with a clear error asking you to declare at least a tier — see custom & local models. This isn't a comprehensive registry — copair deliberately doesn't try to know about every model; generic logic + this sparse data + your overrides cover the common cases.
Last updated June 2, 2026