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deepseek-v4-flash-0731 vs claude-sonnet-4-5

Side-by-side comparison of deepseek-v4-flash-0731 and claude-sonnet-4-5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Pricing & specifications

deepseek-v4-flash-0731claude-sonnet-4-5
Input price / 1M$0.22$3.00
Output price / 1M$0.66$15.00
Context window1M tokens1M tokens
Max output131K tokens64K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesN/A
Prompt cachingYesYes
Computer useN/AYes
ProviderFireworks AIGoogle Vertex AI

Questions people ask

Is deepseek-v4-flash-0731 better than claude-sonnet-4-5?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, deepseek-v4-flash-0731 or claude-sonnet-4-5?
deepseek-v4-flash-0731 is cheaper. deepseek-v4-flash-0731 costs $0.22/$0.66 per 1M input/output tokens, while claude-sonnet-4-5 costs $3.00/$15.00.
Can I use deepseek-v4-flash-0731 and claude-sonnet-4-5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "fireworks/deepseek-v4-flash-0731" and "vertex/claude-sonnet-4-5", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 supports up to 1M tokens of context. claude-sonnet-4-5 supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between deepseek-v4-flash-0731 and claude-sonnet-4-5 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.