token.app › Compare › Qwen3 30B A3B Thinking 2507 vs GPT-5.6 Terra

Qwen3 30B A3B Thinking 2507 vs GPT-5.6 Terra

Qwen3 30B A3B Thinking 2507 is 3.0× cheaper per token on a blended 3:1 basis. GPT-5.6 Terra accepts the larger context window (1.1M).

Head to head
Blended price uses a 3:1 input:output mix
Qwen3 30B A3B Thinking 2507GPT-5.6 Terra
ProviderAlibabaOpenAI
Input $/1M$0.200$1.00
Output $/1M$2.40$6.00
Blended $/1M$0.750$2.25
Context window82K1.1M
Max output33K128K
ReleasedAug 2025Jul 2026
LicenceOpen weightsProprietary
Choose Qwen3 30B A3B Thinking 2507 if…
  • Costs less per token — $0.750 vs $2.25 blended
  • Open weights — self-hostable
Choose GPT-5.6 Terra if…
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Qwen3 30B A3B Thinking 2507 or GPT-5.6 Terra?
We do not hold independently-run benchmark scores covering both Qwen3 30B A3B Thinking 2507 and GPT-5.6 Terra, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Qwen3 30B A3B Thinking 2507 cheaper than GPT-5.6 Terra?
Qwen3 30B A3B Thinking 2507 is cheaper: $0.750 versus $2.25 per million tokens blended at 3:1 input:output. Input alone: $0.200 vs $1.00. Output alone: $2.40 vs $6.00.
What context windows do Qwen3 30B A3B Thinking 2507 and GPT-5.6 Terra have?
Qwen3 30B A3B Thinking 2507: 81,920 tokens. GPT-5.6 Terra: 1,050,000 tokens.
Who makes Qwen3 30B A3B Thinking 2507 and GPT-5.6 Terra?
Qwen3 30B A3B Thinking 2507 is made by Alibaba. GPT-5.6 Terra is made by OpenAI.
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