Compare DeepSeek V3.1 by DeepSeek against Llama 3.1 70B (Instruct) by Meta AI, in 11 community votes, deepseek v3.1 wins 78% of head-to-head duels, context windows of 164K vs 128K, tested across 51 shared challenges. Updated April 2026.
DeepSeek V3.1 is the better choice overall, winning 78% of 11 blind community votes on Rival. DeepSeek V3.1 costs $0.2/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct). Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
DeepSeek V3.1 is made by deepseek while Llama 3.1 70B (Instruct) is from meta. DeepSeek V3.1 has a 164K token context window compared to Llama 3.1 70B (Instruct)'s 128K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct). In community voting, In 11 community votes, DeepSeek V3.1 wins 78% of head-to-head duels.
In 11 community votes, DeepSeek V3.1 wins 78% of head-to-head duels. DeepSeek V3.1 leads in Web Design, Image Generation. Based on blind community voting from the Rival open dataset of 11+ human preference judgments for this pair.
Pick DeepSeek V3.1. In 11 blind votes, DeepSeek V3.1 wins 78% of the time. That's not luck.
DeepSeek V3.1 particularly excels in Web Design, Image Generation.
DeepSeek V3.1 uses 2.4x more emoji
Ask them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.

Compare DeepSeek V3.1 by DeepSeek against Llama 3.1 70B (Instruct) by Meta AI, in 11 community votes, deepseek v3.1 wins 78% of head-to-head duels, context windows of 164K vs 128K, tested across 51 shared challenges. Updated April 2026.
DeepSeek V3.1 is the better choice overall, winning 78% of 11 blind community votes on Rival. DeepSeek V3.1 costs $0.2/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct). Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
DeepSeek V3.1 is made by deepseek while Llama 3.1 70B (Instruct) is from meta. DeepSeek V3.1 has a 164K token context window compared to Llama 3.1 70B (Instruct)'s 128K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct). In community voting, In 11 community votes, DeepSeek V3.1 wins 78% of head-to-head duels.
In 11 community votes, DeepSeek V3.1 wins 78% of head-to-head duels. DeepSeek V3.1 leads in Web Design, Image Generation. Based on blind community voting from the Rival open dataset of 11+ human preference judgments for this pair.
Pick DeepSeek V3.1. In 11 blind votes, DeepSeek V3.1 wins 78% of the time. That's not luck.
DeepSeek V3.1 particularly excels in Web Design, Image Generation.
DeepSeek V3.1 uses 2.4x more emoji
Ask them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.

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46 fights queued
34+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy Policy