Text models
priced per 1M input / output tokens103 modelsClaude Fable 5 - Anthropic's flagship Mythos-class model
Input$10.55/ 1M
Output$52.75/ 1M
Claude Fable 5.1 - Anthropic's flagship, stronger agentic coding and long-horizon work than Fable 5
Input$10.55/ 1M
Output$52.75/ 1M
Claude Haiku 4.5 - Fastest with near-frontier intelligence
Input$1.17/ 1M
Output$5.81/ 1M
Claude Haiku 5.5 - Anthropic's fastest, lowest-cost model, succeeding Haiku 4.5
Input$0.1055/ 1M
Output$0.5275/ 1M
Claude Opus 4.6 - Most intelligent, best for agents and coding
Input$5.42/ 1M
Output$26.77/ 1M
Claude Opus 4.8 - Most intelligent, best for agents and coding
Input$5.28/ 1M
Output$26.38/ 1M
Claude Opus 5 - Most intelligent, best for agents and coding
Input$5.28/ 1M
Output$26.38/ 1M
Claude Opus 5.5 - Anthropic's most capable model, priced below Opus 5
Input$4.22/ 1M
Output$21.10/ 1M
Claude Sonnet 4.6 - Best balance of speed and intelligence
Input$3.49/ 1M
Output$17.41/ 1M
Claude Sonnet 5 - Best balance of speed and intelligence
Input$2.11/ 1M
Output$10.55/ 1M
Claude Sonnet 5.5 - Anthropic's everyday model, succeeding Sonnet 5
Input$2.11/ 1M
Output$10.55/ 1M
Reflection Beam 1.0 - Reflection AI's open-weight 501B MoE reasoning model for coding and agentic work, with a 1M-token context
Input$0.422/ 1M
Output$1.27/ 1M
DeepSeek's V4 Flash
Input$0.095/ 1M
Output$0.1899/ 1M
DeepSeek's V4 Flash 0731
Input$0.1477/ 1M
Output$0.2954/ 1M
DeepSeek's V4 Pro
Input$1.38/ 1M
Output$2.75/ 1M
DeepSeek's V4.1 Flash
Input$0.211/ 1M
Output$0.633/ 1M
DeepSeek's V4.1 Flash 1017 - the October 17, 2026 snapshot, 1M context and image input
Input$0.211/ 1M
Output$0.633/ 1M
DeepSeek V4.1 Flash, uncensored - a fine-tune without the usual refusals, 1M context
Input$0.3482/ 1M
Output$1.40/ 1M
Mistral Devstral 2512
Input$0.44/ 1M
Output$2.20/ 1M
Fireworks Ember-1 - a reasoning model built on Kimi K3
Input$3.30/ 1M
Output$16.50/ 1M
Sakana AI Fugu Max - cost-performance multi-agent orchestration model
Input$2.20/ 1M
Output$6.60/ 1M
Sakana AI Fugu Ultra v2 - high-performance multi-agent orchestration model
Input$5.50/ 1M
Output$33.00/ 1M
Google's Gemini 3.1 Pro (preview)
Input$2.11/ 1M
Output$12.66/ 1M
Google's Gemini 3.5 Flash
Input$1.65/ 1M
Output$9.90/ 1M
Google's Gemini 3.7 Flash
Input$0.7913/ 1M
Output$3.96/ 1M
Google's Gemini 3.8 Flash
Input$0.7913/ 1M
Output$3.96/ 1M
Google Gemini 4 Argon - Google's flagship reasoning model for software engineering, math and science, and multi-step agents
Input$2.11/ 1M
Output$10.55/ 1M
Google's Gemini Flash Lite - free to try
Input$0.00/ 1M
Output$0.00/ 1M
Google Gemma 4 26B-A4B
Input$0.0739/ 1M
Output$0.3587/ 1M
Z.ai GLM 4.6V
Input$0.33/ 1M
Output$0.99/ 1M
Z.ai's GLM 4.7
Input$0.422/ 1M
Output$1.85/ 1M
Z.ai's GLM 4.7 Flash
Input$0.0666/ 1M
Output$0.44/ 1M
Z.ai's GLM-5
Input$1.06/ 1M
Output$3.38/ 1M
Z.ai's GLM 5.2
Input$1.48/ 1M
Output$4.65/ 1M
Z.ai's GLM 5.3
Input$1.48/ 1M
Output$4.65/ 1M
Z.ai GLM 5.3 Flash
Input$0.1583/ 1M
Output$0.5275/ 1M
Z.ai GLM 5.3 FlashX
Input$0.407/ 1M
Output$1.38/ 1M
OpenAI's GPT-4.1 mini
Input$0.44/ 1M
Output$1.76/ 1M
OpenAI's GPT-4.1 nano
Input$0.11/ 1M
Output$0.44/ 1M
OpenAI's GPT-4o mini
Input$0.1583/ 1M
Output$0.633/ 1M
OpenAI's GPT-5 mini
Input$0.2638/ 1M
Output$2.11/ 1M
OpenAI's GPT-5.4 nano
Input$0.211/ 1M
Output$1.32/ 1M
OpenAI's GPT-5.6 Luna
Input$0.211/ 1M
Output$1.27/ 1M
OpenAI's GPT-5.6 Sol
Input$4.40/ 1M
Output$22.00/ 1M
OpenAI's GPT-5.6 Terra
Input$2.11/ 1M
Output$12.66/ 1M
OpenAI's GPT-6 Astra
Input$10.55/ 1M
Output$52.75/ 1M
OpenAI's GPT-6 Astra Pro
Input$11.00/ 1M
Output$55.00/ 1M
OpenAI GPT-6 Luna
Input$0.1055/ 1M
Output$0.5275/ 1M
OpenAI GPT-6 Luna Pro
Input$0.11/ 1M
Output$0.55/ 1M
OpenAI GPT-6 Sol
Input$2.11/ 1M
Output$10.55/ 1M
OpenAI GPT-6 Sol Pro
Input$2.20/ 1M
Output$11.00/ 1M
OpenAI GPT-6.1 Sol
Input$2.11/ 1M
Output$10.55/ 1M
OpenAI GPT-6.1 Sol Pro
Input$2.20/ 1M
Output$11.00/ 1M
OpenAI GPT-6.1 Terra - the mid-tier GPT-6.1 model, below GPT-6.1 Sol, 1M context
Input$1.10/ 1M
Output$5.50/ 1M
OpenAI GPT-6.1 Terra Pro - GPT-6.1 Terra in its higher-quality pro mode
Input$1.10/ 1M
Output$5.50/ 1M
OpenAI gpt-oss-20B
Input$0.0317/ 1M
Output$0.1477/ 1M
gpt-oss-120b
Input$0.102/ 1M
Output$0.5035/ 1M
xAI's Grok 4.5
Input$2.20/ 1M
Output$6.60/ 1M
xAI's Grok 4.6
Input$2.20/ 1M
Output$6.60/ 1M
xAI's Grok 4.7
Input$2.20/ 1M
Output$6.60/ 1M
Tencent Hy3
Input$0.1477/ 1M
Output$0.6119/ 1M
Thinking MachinesinklingVisionChat only Thinking Machines' Inkling
Input$1.10/ 1M
Output$4.46/ 1M
Google's Gemma 4 31B - hosted and run in Japan
Input$0.1657/ 1M
Output$0.6436/ 1M
Moonshot AI's Kimi K2.6 - hosted and run in Japan
Input$0.4079/ 1M
Output$2.02/ 1M
Moonshot AI's Kimi K2.7 Code - hosted and run in Japan
Input$0.3505/ 1M
Output$3.38/ 1M
Qwen 3.6 35B-A3B - hosted and run in Japan
Input$0.204/ 1M
Output$1.01/ 1M
Moonshot AI's Kimi K2.6
Input$0.7913/ 1M
Output$3.70/ 1M
Moonshot AI's Kimi K3
Input$3.17/ 1M
Output$15.83/ 1M
Moonshot AI's Kimi K3.1 Pro - flagship reasoning model, successor to Kimi K3, 1M context and image input
Input$2.11/ 1M
Output$10.55/ 1M
Liquid AI LFM2.5-24B-A2B - a fast, low-cost MoE reasoning model with 2B active parameters
Input$0.055/ 1M
Output$0.77/ 1M
inclusionAI Ling 3.0 Flash VL - low-cost MoE vision-language model
Input$0.0633/ 1M
Output$0.1899/ 1M
Meta Llama 3.1 8B Instruct
Input$0.0211/ 1M
Output$0.0422/ 1M
Meta Llama 3.2 3B Instruct
Input$0.056/ 1M
Output$0.3685/ 1M
Meta Llama 3.3 70B Instruct
Input$0.1055/ 1M
Output$0.3376/ 1M
Meta Llama 4 Maverick
Input$0.22/ 1M
Output$0.88/ 1M
Japanese language model optimized for instruction following
Input$0.102/ 1M
Output$0.5035/ 1M
Inception Mercury 2.5 - diffusion LLM, the fastest reasoning model
Input$0.044/ 1M
Output$0.165/ 1M
Inception Mercury 3 - Inception's most capable diffusion LLM, very fast, with a 1M-token context
Input$0.11/ 1M
Output$0.385/ 1M
Xiaomi's MiMo-V2.6-Flash
Input$0.1477/ 1M
Output$0.2954/ 1M
Xiaomi's MiMo-V2.6-Pro
Input$0.459/ 1M
Output$0.9179/ 1M
Minimax's M2.7
Input$0.3165/ 1M
Output$1.27/ 1M
MiniMax's M3
Input$0.2954/ 1M
Output$1.17/ 1M
MiniMax's M3.1 Flash - fast, low-cost multimodal model with a 1M-token context
Input$0.1583/ 1M
Output$0.633/ 1M
Mistral Large 4 - Mistral AI's frontier multimodal model for reasoning, coding and agents
Input$1.50/ 1M
Output$4.60/ 1M
Mistral's voxtral-mini-3b-2507
Input$0.0528/ 1M
Output$0.0528/ 1M
Meta's Muse Glimmer 30B
Input$0.3693/ 1M
Output$1.59/ 1M
Meta Muse Spark 1.2
Input$1.38/ 1M
Output$4.68/ 1M
Meta Muse Spark 1.3
Input$1.38/ 1M
Output$4.68/ 1M
Meta Muse Spark 1.3 Contributor
Input$0.11/ 1M
Output$0.22/ 1M
Meta Muse Spark Open - Meta's open-weight, coding-optimized MoE model with a 1M-token context
Input$1.38/ 1M
Output$4.68/ 1M
Meta Muse Wonder - Meta's frontier reasoning model for complex agentic tasks, with image, video, audio and PDF input
Input$4.40/ 1M
Output$22.00/ 1M
NVIDIA Nemotron 3 Super 120B-A12B
Input$0.0897/ 1M
Output$0.422/ 1M
NVIDIA Nemotron 3.5 Super VL - NVIDIA's open multimodal MoE reasoning model with image and PDF input
Input$0.211/ 1M
Output$1.06/ 1M
Unbiased Pareto 26.10 - blended multimodal model for research, coding and agentic work, 1M context
Input$0.88/ 1M
Output$3.52/ 1M
Qwen3-Next 80B-A3B Instruct
Input$0.095/ 1M
Output$1.17/ 1M
Qwen3-VL 235B-A22B Instruct
Input$0.211/ 1M
Output$0.9284/ 1M
Qwen 3.6 27B
Input$0.3376/ 1M
Output$3.38/ 1M
Qwen 3.7 Max
Input$2.64/ 1M
Output$7.92/ 1M
Qwen 3.8 2.4T-A95B
Input$2.20/ 1M
Output$6.60/ 1M
Qwen 3.8 27B
Input$0.211/ 1M
Output$2.64/ 1M
Qwen 3.8 Max
Input$2.11/ 1M
Output$6.33/ 1M
Upstage Solar Mini 4
Input$0.055/ 1M
Output$0.22/ 1M
Upstage Solar Pro 4
Input$0.165/ 1M
Output$0.66/ 1M