133 models
Ranked by Design Arena: codecategories
1140.0

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

mistralai/mistral-large-2512:batch 262.144K context $0.25/M input $0.75/M output
1120.0

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

mistralai/mistral-medium-3.1 131.072K context $0.4/M input $2/M output
1120.0

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

mistralai/mistral-medium-3.1:batch 131.072K context $0.2/M input $1/M output
1113.0

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

anthropic/claude-haiku-4.5 200K context $1/M input $5/M output
1113.0

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

anthropic/claude-haiku-4.5:batch 200K context $0.5/M input $2.5/M output
Reasoning Tools JSON 1113.0

Small GPT-5 for responsive agents, coding help, and everyday automation

openai/gpt-5-mini 2025-08-07 400K context $0.25/M input $2/M output
32 providers
1113.0

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

openai/gpt-5-mini:batch 400K context $0.125/M input $1/M output
Reasoning Tools JSON 1104.0

Fast Gemini workhorse for multimodal apps where latency and price matter

google/gemini-2.5-flash 2025-06-17 1.04858M context $0.3/M input $2.5/M output
32 providers
1104.0

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

google/gemini-2.5-flash:batch 1.04858M context $0.15/M input $1.25/M output
Reasoning Tools JSON 1092.0

Coding-optimized GPT model for repository edits, reviews, and agentic software work

openai/gpt-5.1-codex-mini 2025-11-13 400K context $0.22/M input $1.8/M output
15 providers
Tools JSON 1084.0

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

openai/gpt-5-nano 2025-08-07 400K context $0.05/M input $0.4/M output
29 providers
1084.0

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

openai/gpt-5-nano:batch 400K context $0.025/M input $0.2/M output
Reasoning Tools JSON 1072.0

Low-latency Gemini model for high-volume multimodal and agent workloads

google/gemini-3.1-flash-lite-preview 2026-03-03 1.04858M context $0.25/M input $1.5/M output
15 providers
1067.0

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...

mistralai/mistral-medium-3 131.072K context $0.4/M input $2/M output
1063.0

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

mistralai/ministral-14b-2512 262.144K context $0.2/M input $0.2/M output
1053.0

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

mistralai/ministral-8b-2512 262.144K context $0.15/M input $0.15/M output
1053.0

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

mistralai/ministral-8b-2512:batch 262.144K context $0.075/M input $0.075/M output
Tools JSON 1024.0

Long-lived GPT workhorse for coding, instruction following, and production apps

openai/gpt-4.1 2025-04-14 1.04758M context $2/M input $8/M output
31 providers
1024.0

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

openai/gpt-4.1:batch 1.04758M context $1/M input $4/M output
Reasoning Tools 1018.0

Deliberate o-series reasoner for hard math, coding, and multi-step analysis

openai/o3 2025-04-16 200K context $2/M input $8/M output
23 providers
1018.0

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

openai/o3:batch 200K context $1/M input $4/M output
1010.0

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

mistralai/ministral-3b-2512 131.072K context $0.1/M input $0.1/M output
Tools JSON 992.0

Affordable GPT-4.1 lane for fast coding help and structured extraction

openai/gpt-4.1-mini 2025-04-14 1.04758M context $0.4/M input $1.6/M output
28 providers
992.0

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

openai/gpt-4.1-mini:batch 1.04758M context $0.2/M input $0.8/M output
Reasoning Tools 974.0

Fast o-series model for compact reasoning, coding, and tool use

openai/o4-mini 2025-04-16 200K context $1.1/M input $4.4/M output
22 providers
974.0

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

openai/o4-mini:batch 200K context $0.55/M input $2.2/M output
Tools 961.0

Tiny GPT-4.1 option for classification, routing, and very high-volume tasks

openai/gpt-4.1-nano 2025-04-14 1.04758M context $0.1/M input $0.4/M output
22 providers
961.0

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

openai/gpt-4.1-nano:batch 1.04758M context $0.05/M input $0.2/M output
905.0

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

mistralai/mistral-small-3.2-24b-instruct 128K context $0.075/M input $0.2/M output
878.0

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

meta-llama/llama-4-maverick 128K context $0.188/M input $0.652/M output
Tools JSON 859.0

Omni-era GPT for multimodal chat, practical coding, and general assistants

openai/gpt-4o 2024-05-13 128K context $2.5/M input $10/M output
26 providers
859.0

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

openai/gpt-4o:batch 128K context $1.25/M input $5/M output
788.0

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

meta-llama/llama-4-scout 327.68K context $0.1/M input $0.3/M output