Model Directory
Direct Access to Premier AI Models
Switch between top coding, reasoning, and chat models with transparent rates.
243 models, 187 live on Morphic
deepseek-V4.1-Local86.34M tokens on Morphic, 7 days- Input:
- Output:
- Input price
- 1x · Rp400/1M in
- Output price
- 1x · Rp400/1M out
- Context:
- 262.14K
- Max output:
- —
Available on 1 provider- Local
Success 24h100.00%- deepseek-v40 tokens on Morphic, 7 days
Coding & reasoning model
- Input:
- Output:
- Input price
- 23x · Rp9.152/1M in
- Output price
- 69x · Rp27.456/1M out
- Context:
- 65.54K
- Max output:
- —
Available on 2 providers
Inceptron
Chutes
Success 24h— 
qwen-max0 tokens on Morphic, 7 daysGeneral purpose & reasoning
- Input:
- Output:
- Input price
- 6.2x · Rp2.496/1M in
- Output price
- 19x · Rp7.488/1M out
- Context:
- 32.77K
- Max output:
- —
Available on 1 provider
Alibaba Cloud
Success 24h—
kimi-coding0 tokens on Morphic, 7 daysCoding with long context
- Input:
- Output:
- Input price
- 4.2x · Rp1.664/1M in
- Output price
- 12x · Rp4.992/1M out
- Context:
- 262.14K
- Max output:
- —
Available on 1 provider
Moonshot
Success 24h—
minimax/minimax-m3.1-flash0 tokens on Morphic, 7 daysMiniMax-M3.1-Flash is a frontier multimodal language model with a 1M-token context window, designed for agentic reasoning, tool use, coding, and long-context tasks. It supports text, image, and video inputs, and offers tunable thinking depth through effort levels to balance reasoning quality, latency, and token usage.
- Input:
- Output:
- Input price
- 7.8x · Rp3.120/1M in
- Output price
- 31x · Rp12.480/1M out
- Context:
- 1M
- Max output:
- 512K
Available on 1 provider
MiniMax
Success 24h—- deepseek/deepseek-v4.1-flash0 tokens on Morphic, 7 days
Only DeepPeek and Alibaba Cloud providers are version 1017, while other providers are still old version. DeepSeek V4.1 Flash is a 552B-parameter MoE model built on a new causal encoder-decoder architecture, designed for higher capability, faster reasoning, higher throughput, and lower serving cost. It natively supports multimodal visual understanding and delivers flagship-level intelligence with significantly reduced KV cache requirements, making it well suited for high-throughput and cost-sensitive agentic workloads.
- Input:
- Output:
- Input price
- 16x · Rp6.240/1M in
- Output price
- 62x · Rp24.960/1M out
- Context:
- 1M
- Max output:
- 384K
Available on 1 provider
DeepSeek
Success 24h— 
atria-asi/atria-dawn0 tokens on Morphic, 7 daysAtria Dawn is a next-generation agentic model designed for research and engineering workflows that require continuous environmental understanding, tool use, and multi-step task execution. It helps users turn open-ended problems into executable and verifiable results across tasks such as deep research, software creation, structured content delivery, and authorized cybersecurity analysis.
- Input:
- Output:
- Input price
- 1x · Rp400/1M in
- Output price
- 1x · Rp400/1M out
- Context:
- 524.29K
- Max output:
- 65.54K
Available on 1 provider- Atria
Success 24h—
google/gemini-4-argon0 tokens on Morphic, 7 daysGemini 4 Argon is a frontier model from Google DeepMind, released on September 30, 2026. It is the first model in the Gemini 4 series and uses a new naming scheme. It is strong in coding, financial research, legal drafting, and autonomously patching cybersecurity vulnerabilities. It accepts text, image, video, and file inputs and has a 1-million-token context window. On benchmarks, it scores 77.9% on DeepSWE v1.1, ahead of Claude Opus 5.5 and GPT-6 Astra, and ranks first on the Vals Index with 68.90%.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 1,040x · Rp416.000/1M out
- Context:
- 1.05M
- Max output:
- 65.54K
Available on 1 provider- Google
Success 24h—
meta/muse-wonder-1.00 tokens on Morphic, 7 daysMuse Wonder is Meta's reasoning model for complex agentic tasks, with a 1M-token context window and support for text, image, video, audio, and PDF inputs.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 1,040x · Rp416.000/1M out
- Context:
- 1.05M
- Max output:
- 128K
Available on 1 provider- Meta
Success 24h—
mistralai/mistral-large-40 tokens on Morphic, 7 daysMistral Large 4 is Mistral AI's newest flagship model. It is currently offered as an API public preview through Mistral Studio. The model uses a granular mixture-of-experts design and accepts image input natively, with a vision encoder of about 1.6 billion parameters and a context window officially listed at one million tokens. Its training data spans more than 160 languages, including every official EU language. Mistral plans to publish the open weights at the end of October, so organizations will be able to self-host, although the license terms have not been released. Independent benchmarks place its intelligence score comparable to some rival models, but its cost per task is relatively high, so users should test it on their own workloads before adopting it.
- Input:
- Output:
- Input price
- 71x · Rp28.288/1M in
- Output price
- 217x · Rp86.944/1M out
- Context:
- 256K
- Max output:
- 256K
Available on 1 provider
Mistral
Success 24h—
anthropic/claude-haiku-5.50 tokens on Morphic, 7 daysClaude Haiku 5.5 is Anthropic’s cheapest, fastest, and most capable small model to date, built for high-volume, cost-sensitive workloads. It handles summaries, compaction, database queries, classification, and subagent coding tasks with low latency, making it especially effective for live customer support, browser use, and other speed-sensitive applications.
- Input:
- Output:
- Input price
- 26x · Rp10.400/1M in
- Output price
- 130x · Rp52.000/1M out
- Context:
- 1M
- Max output:
- 128K
Available on 1 provider
Anthropic
Success 24h—- google/gemini-nano-banana-2.10 tokens on Morphic, 7 days
Gemini Nano Banana 2.1 is an upgraded multimodal reasoning image model for production-grade image generation and editing, with stronger prompt adherence, multi-reference editing, and improved visual fidelity. It understands text, images, video, and PDF inputs, supports interleaved text and image generation, and can reason over complex spatial and compositional instructions before generating images. The model also supports grounding with Google Search and Google Image Search for better long-tail entity recognition, visual understanding, and output accuracy.
- Input:
- Output:
- Input price
- 78x · Rp31.200/1M in
- Output price
- 390x · Rp156.000/1M out
- Context:
- 128K
- Max output:
- 32.77K
Available on 1 provider- Google
Success 24h— 
inclusionai/ling-3.1-flash0 tokens on Morphic, 7 daysLing 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
- Input:
- Output:
- Input price
- 1x · Rp400/1M in
- Output price
- 1x · Rp400/1M out
- Context:
- 262.14K
- Max output:
- 32.77K
Available on 1 provider- Ant-ling
Success 24h—
openai/gpt-6.1-terra0 tokens on Morphic, 7 daysGPT-6.1 Terra is the mid-tier model in OpenAI’s GPT-6.1 series, built for agentic workloads such as multi-step tool use, coding, and computer use. It delivers stronger agent performance than the previous Terra at half the price of GPT-6.1 Sol, with a 1.05M-token context window and up to 128K output tokens.
- Input:
- Output:
- Input price
- 104x · Rp41.600/1M in
- Output price
- 390x · Rp156.000/1M out
- Context:
- 1.05M
- Max output:
- 128K
Available on 1 provider
OpenAI
Success 24h—- openai/gpt-6.1-sol0 tokens on Morphic, 7 days
GPT-6.1 Sol is a production-grade OpenAI model designed for agentic workloads, optimized for long-horizon and multi-step tasks such as continuous tool use, complex coding, computer use, and professional workflows. It delivers capabilities approaching GPT-6 Astra at significantly lower cost, including especially low cached-input pricing that makes it well suited for reusable-context agent systems and enterprise deployment scenarios.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 780x · Rp312.000/1M out
- Context:
- 1.05M
- Max output:
- 128K
Available on 1 provider- OpenAI
Success 24h— - anthropic/claude-sonnet-5.50 tokens on Morphic, 7 days
Claude Sonnet 5.5 is Anthropic’s upgraded Sonnet-class model, delivering stronger performance than Claude Sonnet 5 while running over 30% faster and at lower cost for many workloads. It is designed for agentic coding, tool use, and everyday professional tasks, making it well suited for developers and teams building fast, capable AI agents.
- Input:
- Output:
- Input price
- 104x · Rp41.600/1M in
- Output price
- 520x · Rp208.000/1M out
- Context:
- 1M
- Max output:
- 128K
Available on 1 provider- Anthropic
Success 24h— - qwen/qwen3.8-omni-flash0 tokens on Morphic, 7 days
Designed for audio and video understanding and content analysis, it supports text, image, audio, and video inputs with text output.
- Input:
- Output:
- Input price
- 7.8x · Rp3.120/1M in
- Output price
- 24x · Rp9.776/1M out
- Context:
- 1M
- Max output:
- 131.07K
Available on 1 provider- Alibaba Cloud
Success 24h— 
meituan/longcat-2.5-preview0 tokens on Morphic, 7 daysLongCat-2.5-Preview is a preview multimodal model with image understanding capabilities for cross-modal question answering, content summarization, and complex visual reasoning. It delivers strong coding performance across code generation, code understanding, and automated programming tasks. The model is also deeply optimized for mainstream developer environments such as Claude Code, Hermes, OpenClaw, OpenCode, and Kilo Code.
- Input:
- Output:
- Input price
- 39x · Rp15.600/1M in
- Output price
- 153x · Rp61.360/1M out
- Context:
- 1.05M
- Max output:
- 131.07K
Available on 1 provider- Longcat
Success 24h—- openai/gpt-6-luna0 tokens on Morphic, 7 days
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.
- Input:
- Output:
- Input price
- 10x · Rp4.160/1M in
- Output price
- 39x · Rp15.600/1M out
- Context:
- 1.05M
- Max output:
- 128K
Available on 1 provider- OpenAI
Success 24h— - openai/gpt-6-sol0 tokens on Morphic, 7 days
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 780x · Rp312.000/1M out
- Context:
- 1.05M
- Max output:
- 128K
Available on 1 provider- OpenAI
Success 24h— 
z-ai/glm-5.3-prime0 tokens on Morphic, 7 daysGLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× higher output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and is optimized for coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation.
- Input:
- Output:
- Input price
- 146x · Rp58.240/1M in
- Output price
- 458x · Rp183.040/1M out
- Context:
- 1M
- Max output:
- 128K
Available on 1 provider- Z.ai
Success 24h—- anthropic/claude-opus-5.50 tokens on Morphic, 7 days
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up. The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 1,040x · Rp416.000/1M out
- Context:
- 1M
- Max output:
- 128K
Available on 1 provider- Anthropic
Success 24h— - inclusionai/ming-image-0.1-design0 tokens on Morphic, 7 days
Ming Image 0.1 Design is a text-to-image model from inclusionAI aimed at graphic-design output, with an emphasis on legible text rendering inside the generated image. It generates from a prompt only and does not accept reference images. Output format can be requested as PNG, JPEG, or WebP. Image dimensions are chosen by the model rather than by the request, so explicit sizes and aspect ratios are rejected instead of silently reshaped.
- Input:
- Output:
- Input price
- 1x · Rp400/1M in
- Output price
- 1x · Rp400/1M out
- Context:
- 8K
- Max output:
- 100K
Available on 1 provider- Ant-ling
Success 24h— - inclusionai/ming-image-0.1-design-layer0 tokens on Morphic, 7 days
Ming Image 0.1 Design Layer is an image-to-image model from inclusionAI that decomposes a flattened design image into separate RGBA layers, such as a background layer and foreground elements, and returns one image per layer. It requires exactly one reference image and a prompt describing the layer plan. Output format can be requested as PNG or WebP. Output dimensions follow the input image, so explicit sizes and aspect ratios are rejected instead of silently reshaped.
- Input:
- Output:
- Input price
- 1x · Rp400/1M in
- Output price
- 1x · Rp400/1M out
- Context:
- 8K
- Max output:
- 100K
Available on 1 provider- Ant-ling
Success 24h— 
xiaomi/mimo-v2.6-flash0 tokens on Morphic, 7 daysMiMo-V2.6-Flash is Xiaomi's natively omnimodal foundation model optimized for the best balance of intelligence, efficiency, and cost. It supports long-context reasoning and agentic workflows across coding, visual understanding, automation, and tool use, making it well suited for high-throughput assistants and production applications.
- Input:
- Output:
- Input price
- 7.3x · Rp2.912/1M in
- Output price
- 15x · Rp5.824/1M out
- Context:
- 1.05M
- Max output:
- 131.07K
Available on 1 provider- Xiaomi
Success 24h—- xiaomi/mimo-v2.6-pro0 tokens on Morphic, 7 days
MiMo-V2.6-Pro is Xiaomi’s most capable open-source model in the MiMo-V2.6 series, built to scale reinforcement learning on verifiable and complex tasks for stronger reasoning and broader capability growth. It achieves leading open-source performance on the Artificial Analysis Intelligence Index while maintaining the same API pricing as the V2.5 series. The model is designed for users who need top-tier intelligence, strong efficiency, and production-ready cost performance.
- Input:
- Output:
- Input price
- 23x · Rp9.048/1M in
- Output price
- 45x · Rp18.096/1M out
- Context:
- 1.05M
- Max output:
- 131.07K
Available on 1 provider- Xiaomi
Success 24h— - xiaomi/mimo-v2.6-pro-ultraspeed0 tokens on Morphic, 7 days
MiMo-V2.6-Pro-UltraSpeed is an ultra-fast deployment variant in Xiaomi’s MiMo-V2.6 series, designed for users who need extreme generation speed while maintaining the same output quality. Built on the MiMo-V2.6 family’s native omnimodal capabilities, it is suited for high-throughput generation and complex multimodal reasoning workloads.
- Input:
- Output:
- Input price
- 226x · Rp90.480/1M in
- Output price
- 452x · Rp180.960/1M out
- Context:
- 1.05M
- Max output:
- 131.07K
Available on 1 provider- Xiaomi
Success 24h— 
x-ai/grok-4.70 tokens on Morphic, 7 daysGrok 4.7 is xAI’s most capable model for coding and knowledge work, designed to spend longer on difficult tasks and verify its work more carefully. It is optimized for complex agentic workflows, long-context reasoning, and high-reliability outputs in demanding professional use cases.
- Input:
- Output:
- Input price
- 208x · Rp83.200/1M in
- Output price
- 624x · Rp249.600/1M out
- Context:
- 500K
- Max output:
- 500K
Available on 1 provider
Xai
Success 24h—
stepfun/step-5-preview0 tokens on Morphic, 7 daysStep 5 Preview is StepFun's next-generation flagship foundation model for real-world tasks, with a focus on coding and professional knowledge work. It natively supports text, image, and video input, offers a 1M-token context window, and is well suited for workflows that require processing large amounts of information, using tools, and driving tasks through to deliverable results.
- Input:
- Output:
- Input price
- 55x · Rp21.840/1M in
- Output price
- 156x · Rp62.400/1M out
- Context:
- 1M
- Max output:
- 1M
Available on 1 provider- Stepfun
Success 24h—- z-ai/glm-5.3-flashx0 tokens on Morphic, 7 days
GLM-5.3-FlashX is a faster and smoother version of GLM-5.3-Flash, delivering inference speeds of up to 200 tokens/s. GLM-5.3-FlashX is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.
- Input:
- Output:
- Input price
- 20x · Rp7.800/1M in
- Output price
- 65x · Rp26.000/1M out
- Context:
- 1M
- Max output:
- 128K
Available on 1 provider- Z.ai
Success 24h—