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What was claimed

DeepSeek V4 just dropped and it's 40x cheaper than GPT-5.5 Pro, with 1.6 trillion parameters trained on limited GPUs, still matches the top labs

Our verdict

Needs caution

The cost comparison depends heavily on which pricing metric is used. DeepSeek V4-Pro costs $0.87/M output tokens vs GPT-5.5 Pro at $180/M output tokens, making it roughly 207x cheaper on output. However, on input tokens, it's about 8.3x cheaper ($0.435 vs $30). Reports about DeepSeek's low-cost training approach exist for earlier versions, but public sources do not provide verifiable, detailed training hardware counts for V4 to confirm 'limited GPUs.'. (Only 2 of 3 AI systems responded.)

All 2 AI systems agreeChecked Jul 26, 2026

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Key findings

DeepSeek V4 is 40x cheaper than GPT-5.5 Pro.

Misleading88%
All 2 AIs agree

DeepSeek V4 is trained on limited GPUs.

Can’t verify55%
All 2 AIs agree

DeepSeek V4 'still matches the top labs' (i.e., matches top lab model performance).

Can’t verify55%
1 of 2 AIs agree·Claude: Misleading

DeepSeek V4 has 1.6 trillion parameters.

Verified95%
All 2 AIs agree

DeepSeek V4 just dropped

Verified95%
1 AI checked

Detailed Analysis

Did not respond

What other AI think

The claim contains a mix of accurate and inaccurate information. DeepSeek V4 was indeed released with 1.6 trillion parameters and is significantly cheaper than GPT-5.5 Pro, but the "40x cheaper" figure is misleading depending on which pricing metric is used, and the claim about "limited GPUs" lacks verification.

Why this verdict

  • The claim contains a mix of accurate and inaccurate information.
  • DeepSeek V4 was indeed released with 1.6 trillion parameters and is significantly cheaper than GPT-5.5 Pro, but the "40x cheaper" figure is misleading depending on which pricing metric is used, and the claim about "limited GPUs" lacks verification.

Claims checked

still matches the top labs

Misleading85%
DeepSeek V4-Pro performs competitively on many benchmarks but does not uniformly 'match' top labs. On SWE-bench Verified it scores 80.6% vs GPT-5.5's 82.6%; on Terminal-Bench it scores lower (67.9% vs 82.7%). It excels in some areas but trails on others, particularly agentic coding tasks where GPT-5.5 has a documented lead.

This claim may mislead readers without added context.

40x cheaper than GPT-5.5 Pro

Misleading90%
The cost comparison depends heavily on which pricing metric is used. DeepSeek V4-Pro costs $0.87/M output tokens vs GPT-5.5 Pro at $180/M output tokens, making it roughly 207x cheaper on output. However, on input tokens, it's about 8.3x cheaper ($0.435 vs $30). The '40x' figure doesn't match standard pricing comparisons and appears to conflate different metrics or use cache-hit pricing ($0.0036/M input), which is not the standard comparison.

This claim may mislead readers without added context.

trained on limited GPUs

Can’t verify50%
While sources mention DeepSeek trained on non-Nvidia hardware (Huawei Ascend), no sources provide specific details about GPU count or constraints during training. This claim cannot be verified from available information.
Some numeric details in the AI-generated response are supported by public sources. Other comparative and causal claims are imprecise or lack independent verification. The overall statement mixes accurate facts with misleading or unverified assertions.

Why this verdict

  • Some numeric details in the AI-generated response are supported by public sources.
  • Other comparative and causal claims are imprecise or lack independent verification.
  • The overall statement mixes accurate facts with misleading or unverified assertions.

Claims checked

DeepSeek V4 is 40x cheaper than GPT-5.5 Pro.

Misleading85%
Per‑token published list prices put GPT‑5.5 Pro at roughly $30/$180 per million (input/output) and DeepSeek V4 Pro in the sub‑$1 to a few dollars per million range depending on bucket; the true ratio depends on which token bucket (input vs output, cached vs miss) is compared, but typical comparisons show price multiples much larger than 40× (or, for some buckets, even larger differences), so the flat '40x' claim is an oversimplification.

This claim may mislead readers without added context.

DeepSeek V4 'still matches the top labs' (i.e., matches top lab model performance).

Can’t verify55%
Some benchmark write-ups claim V4 is competitive on several leaderboards, but broad 'matches the top labs' is vague and not uniformly supported across independent, peer-reviewed benchmarks.

DeepSeek V4 is trained on limited GPUs.

Can’t verify60%
Reports about DeepSeek's low-cost training approach exist for earlier versions, but public sources do not provide verifiable, detailed training hardware counts for V4 to confirm 'limited GPUs.'

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