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DeepSeek

DeepSeek V4 Pro

VS
Meta

Llama-3.3-70B

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 52.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Llama-3.3-70B is 1.0x cheaper to run and delivers 4.9x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Llama-3.3-70B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
52.1%
Reasoning (gpqa-diamond)Winner (+37.5%)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context WindowLarger
1M tokens
Model Specs

Llama-3.3-70B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
50.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed4.9x faster
193 tps
Context Window
131.07k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Llama-3.3-70B is faster than DeepSeek V4 Pro. Llama-3.3-70B generates 193 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

DeepSeek V4 Pro is better for coding tasks. It scores 52.1% on coding evaluations (swe-bench-pro) compared to Llama-3.3-70B which scores N/A.

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