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Claude 3.5 Sonnet vs QVQ-Max

Compare pricing, context windows, and strengths for Claude 3.5 Sonnet by Anthropic and QVQ-Max by Alibaba Cloud - and see how to put either to work in Appaca.

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Claude 3.5 Sonnet

A fast, mid-tier model offering top-tier intelligence, strong reasoning, and advanced coding/vision capabilities at low cost.

View Claude 3.5 Sonnet
vision

QVQ-Max

High-end visual reasoning model with strong math, coding, and diagram understanding.

View QVQ-Max

Claude 3.5 Sonnet vs QVQ-Max at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec Claude 3.5 Sonnet QVQ-Max
Provider Anthropic Alibaba Cloud
Model type Text Vision
Context window 200K tokens 131.1K tokens
Input price $3 / 1M tokens $1.147 / 1M tokens
Output price $15 / 1M tokens $4.588 / 1M tokens
Status Superseded by Claude 4.5 Sonnet Current
Key differences

How Claude 3.5 Sonnet and QVQ-Max differ

What the numbers mean in practice when choosing between Claude 3.5 Sonnet and QVQ-Max.

  • QVQ-Max is 62% cheaper on input tokens ($1.147 vs $3 per million), which adds up quickly in document-heavy workloads.

  • QVQ-Max is 69% cheaper on output tokens ($4.588 vs $15 per million) - the bigger factor for tools that generate long documents.

  • Claude 3.5 Sonnet's 200K tokens context window is roughly 1.5x larger than QVQ-Max's 131.1K tokens, so it can work across bigger codebases, contracts, or archives in one pass.

  • These are different kinds of model: Claude 3.5 Sonnet is a text model while QVQ-Max is a vision model, so they often complement each other in a workflow rather than compete.

  • Claude 3.5 Sonnet has been superseded by Claude 4.5 Sonnet - for new builds, consider the newer model first.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

Claude 3.5 Sonnet

1. Intelligence & Reasoning

  • Outperforms previous Claude models and competitor LLMs across major benchmarks.
  • Excels in graduate-level reasoning (GPQA), knowledge tasks (MMLU), and coding (HumanEval).
  • Handles nuance, humor, and complex instructions with human-like clarity.

2. Speed & Efficiency

  • Runs 2x faster than Claude 3 Opus, making it ideal for real-time and high-volume workflows.
  • Cost-effective pricing: $3/M input tokens and $15/M output tokens.
  • Supports a 200K token context window, enabling rich, long-form reasoning.

3. Coding Capabilities

  • Solves significantly more coding and bug-fix tasks (64% vs Opus's 38% in internal evaluations).
  • Can autonomously write, edit, and execute code when tool use is enabled.
  • Strong at translating and modernizing legacy codebases.

4. Vision Strength

  • Best vision model in the Claude family, surpassing Opus on vision benchmarks.
  • Excellent at interpreting charts, graphs, and imperfect images.
  • Reliable text extraction from low-quality visuals for retail, logistics, finance, etc.

5. Agentic Workflows

  • Highly capable for multi-step task orchestration.
  • Performs well as the engine for agents requiring reasoning, planning, and tool-calling abilities.

6. Content Quality

  • Produces natural, relatable writing with improved tone, style, and context awareness.
  • Strong at long-form content creation and editing.

7. Safety & Reliability

  • Rated ASL-2, meeting Anthropic's safety standards.
  • Undergoes extensive red-teaming and external evaluation (UK AISI & US AISI).
  • Not trained on user data without explicit permission.

QVQ-Max

1. Strongest visual reasoning in Qwen lineup

  • Handles charts, diagrams, puzzles.

2. Great for math + vision hybrids

  • Geometry, visual logic testing.

3. High-quality instruction following

  • Consistent formatting and detailed responses.
Appaca

Use Claude 3.5 Sonnet or QVQ-Max - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Claude 3.5 Sonnet or QVQ-Max - connected to your real data and ready for your whole team. No code, no deployment.

Describe it, and it's built

Tell the Appaca agent the internal tool you need and it builds a working app powered by Claude 3.5 Sonnet or QVQ-Max. No code, no API keys, no deployment.

Switch models without rebuilding

Start on Claude 3.5 Sonnet, test the same tool on QVQ-Max, and keep whichever performs better - the rest of your app stays exactly as it is.

Automated for the whole team

Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.

Describe it, and it's built

Tell the Appaca agent what your team needs and it builds a working app powered by Claude 3.5 Sonnet or QVQ-Max - connected to the tools you already use.

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Keep comparing

Related comparisons

See how Claude 3.5 Sonnet and QVQ-Max stack up against other models in the directory.

FAQs

Is Claude 3.5 Sonnet cheaper than QVQ-Max?

QVQ-Max is generally cheaper: $1.147 input / $4.588 output per million tokens, versus $3 / $15 for Claude 3.5 Sonnet. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, Claude 3.5 Sonnet or QVQ-Max?

Claude 3.5 Sonnet has the larger context window at 200K tokens, compared to 131.1K tokens for QVQ-Max. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.

Should I use Claude 3.5 Sonnet or QVQ-Max?

It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Claude 3.5 Sonnet, test the same tool on QVQ-Max, and switch at any time without rebuilding anything.

Can I use Claude 3.5 Sonnet and QVQ-Max without writing code?

Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Claude 3.5 Sonnet, QVQ-Max, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.

Build AI tools with Claude 3.5 Sonnet or QVQ-Max

Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.