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model atlas

Marketplace view of AI models and their capabilities

Live market scan · 6 providers · 9 models

systems

AI Model Atlas

Compare the leading foundation and reasoning models, see their core capabilities, and jump into the providers that fit your mission profile.

Multimodal coverage
Context + latency signals
Provider readiness

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models

All tracked models

Scan across providers, compare tiers, and pick the context, latency, and modality mix that fits your workload.

fast Anthropic 2024

Claude 3.5 Haiku

Lightweight Claude tuned for speed while keeping surprisingly strong reasoning and extraction quality.

Provider →

Context

200k tokens

Availability

Anthropic API, Amazon Bedrock, Google Cloud Vertex

Modalities

Text · Vision · Code

Pricing

$0.80 / 1M input tokens, $4.00 / 1M output tokens

Strengths

  • Fast responses with grounded summaries and low hallucination rates.
  • Excellent structured extraction across tables, docs, and receipts.
  • Cost-efficient while still supporting reliable tool use.

Best for

  • High-traffic chat surfaces and internal assistants.
  • Knowledge extraction, enrichment, and tagging.
  • Routing and pre-processing before heavier models or pipelines.
flagship Anthropic 2024

Claude 3.7 Sonnet

Anthropic's fast flagship model with strong writing quality, safety alignment, and broad domain coverage.

Provider →

Context

200k tokens

Availability

Anthropic API, Amazon Bedrock, Google Cloud Vertex

Modalities

Text · Vision · Code

Pricing

$3.00 / 1M input tokens, $15.00 / 1M output tokens

Strengths

  • High-quality narrative writing and summarization with an even tone.
  • Grounded responses with reliable refusals and safety guardrails.
  • Consistent tool-use behavior for multi-step agent plans.

Best for

  • Enterprise copilots that need predictable tone and safety posture.
  • Long-form rewriting, knowledge distillation, and doc QA.
  • Ops workflows that mix structured output with human approvals.
fast Google DeepMind 2024

Gemini 2.0 Flash

Speed-focused Gemini tier for high-traffic workloads with strong multimodal coverage.

Provider →

Context

1M tokens (streaming) / 128k cached context

Availability

Google AI Studio, Vertex AI

Modalities

Text · Vision · Audio · Code

Pricing

$0.10 / 1M input tokens, $0.40 / 1M output tokens

Strengths

  • Very low latency with competitive reasoning for its size.
  • Great at summarization, classification, and extraction tasks.
  • Optimized streaming responses for interactive UIs.

Best for

  • Support chat, quick Q&A, and transactional responses.
  • Summaries and labeling over documents, tickets, and recordings.
  • Agent warmups, pre-routing, and pre-processing before heavier calls.
balanced Google DeepMind 2024

Gemini 2.0 Pro

Balanced multimodal Gemini model that blends quality, speed, and long-context reasoning.

Provider →

Context

1M tokens (streaming) / 128k cached context

Availability

Google AI Studio, Vertex AI

Modalities

Text · Vision · Audio · Code

Pricing

$0.35 / 1M input tokens, $1.05 / 1M output tokens

Strengths

  • Strong grounding on web-scale knowledge with low-latency streaming.
  • Handles mixed modality inputs across screenshots, PDFs, and audio snippets.
  • Reliable JSON modes for structured calls and function execution.

Best for

  • Production chat and copilots that need latency caps.
  • Long-context analysis with mixed media attachments.
  • Retrieval-augmented generation and analytics over customer data.
open-weight Meta 2024

Llama 3.2 90B

Open-weight Llama 3.2 model with strong reasoning for an open license footprint.

Provider →

Context

128k tokens

Availability

Self-hosted, cloud marketplaces, supported by major GPU providers

Modalities

Text · Code

Pricing

Open-weight (no per-token licensing)

Strengths

  • High quality for an open-weight model with competitive reasoning.
  • Supports fine-tuning and RAG pipelines on self-hosted infra.
  • Transparent licensing for on-prem or VPC deployments.

Best for

  • Teams that need vendor-neutral, controllable deployments.
  • Private RAG stacks with custom tuning and observability.
  • Cost-controlled batch inference across dedicated GPUs.
flagship Mistral AI 2024

Mistral Large 2

French-built flagship with strong code, reasoning, and multilingual capability.

Provider →

Context

128k tokens

Availability

Mistral API (La Plateforme), Azure AI, self-hosted via deployment partners

Modalities

Text · Code

Pricing

$2.00 / 1M input tokens, $6.00 / 1M output tokens

Strengths

  • Competitive reasoning with concise answers and good tool-use adherence.
  • Multilingual strength across European languages.
  • Great price-performance for production workloads.

Best for

  • APIs that need predictable cost while keeping quality high.
  • Developer tooling, code review, and refactors.
  • Customer experience workloads across languages.
flagship OpenAI 2024

GPT-4.1

Flagship multimodal model with strong reasoning, structured outputs, and tool-use alignment.

Provider →

Context

128k tokens

Availability

OpenAI API, Assistants API, Azure OpenAI

Modalities

Text · Vision · Code

Pricing

$5.00 / 1M input tokens, $15.00 / 1M output tokens

Strengths

  • Deep reasoning with low hallucination rates and stable system prompt adherence.
  • Multimodal grounding for screenshots, documents, diagrams, and charts.
  • Structured outputs that stay close to JSON and function-call schemas.

Best for

  • Agent orchestration that mixes planning, tools, and guardrails.
  • Compliance, evaluations, and quality checks that need reliable citations.
  • Product experiences where tone and safety need to stay consistent.
reasoning OpenAI 2024

o3-mini

Compact reasoning model optimized for chain-of-thought, tool-use, and budget-sensitive workloads.

Provider →

Context

200k tokens

Availability

OpenAI API, Assistants API, Batch API

Modalities

Text · Code

Pricing

$1.10 / 1M input tokens, $4.40 / 1M output tokens

Strengths

  • High reasoning quality per token with concise, focused answers.
  • Great at tool-calling loops and iterative refinement.
  • Predictable outputs that stay inside tight cost and latency budgets.

Best for

  • Cost-aware agents and copilots where throughput matters.
  • Routing logic, scoring, and classifier-style prompts.
  • Batch evaluations and test harnesses with budget constraints.
reasoning xAI 2024

Grok-2

Reasoning-forward model with high willingness to tackle open-domain questions.

Provider →

Context

128k tokens

Availability

xAI API

Modalities

Text · Code

Pricing

$1.00 / 1M input tokens, $2.00 / 1M output tokens

Strengths

  • Handles open-domain reasoning and exploration-heavy prompts.
  • Good at iterative tool-use when guided with clear schemas.
  • Strong latency profile for real-time chat.

Best for

  • Consumer-style assistants and exploratory Q&A.
  • Research-heavy prompts that need chain-of-thought.
  • Developer assistants that mix search and tool calls.