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deepseek-v4-flash-0731 vs gpt-5.6-terra

Side-by-side comparison of deepseek-v4-flash-0731 and gpt-5.6-terra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
deepseek-v4-flash-0731N/A
gpt-5.6-terra32.3%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

deepseek-v4-flash-0731gpt-5.6-terra
Input price / 1M$0.14$2.00
Output price / 1M$0.28$12.00
Context window1.0M tokens1.1M tokens
Max output393K tokens128K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderNovita AIOpenAI

Questions people ask

Is deepseek-v4-flash-0731 better than gpt-5.6-terra?
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 gpt-5.6-terra?
deepseek-v4-flash-0731 is cheaper. deepseek-v4-flash-0731 costs $0.14/$0.28 per 1M input/output tokens, while gpt-5.6-terra costs $2.00/$12.00.
Can I use deepseek-v4-flash-0731 and gpt-5.6-terra through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "novita/deepseek/deepseek-v4-flash-0731" and "openai/gpt-5.6-terra", no other code changes needed.
What are the context windows?
deepseek-v4-flash-0731 supports up to 1.0M tokens of context. gpt-5.6-terra supports up to 1.1M 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 gpt-5.6-terra with one line of code

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