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OmedTheVibeCoder

@OmedVibeCodes • 1,221 subscribers

🇩🇪 Software Developer | Extreme AI model testing, honest results, no hype | Building something that could change game development 🎮

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DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.

DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.

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Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.
0:32
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Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.

OmedTheVibeCoder

35,417 просмотров • 6 дней назад

DeepSeek V4 Flash completely failed this test. Compared to Opus 4.8, GPT-5.6 Sol, Kimi K3, and the other current top models, it’s honestly not good. The gap is massive. Against Luna, however, it performs similarly well. Both have different strengths and weaknesses, so I still need to test them more. The weird part: the Pi harness performed worse than OpenCode for DeepSeek. More tests are coming, guys. Don’t worry
0:38
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DeepSeek V4 Flash completely failed this test. Compared to Opus 4.8, GPT-5.6 Sol, Kimi K3, and the other current top models, it’s honestly not good. The gap is massive. Against Luna, however, it performs similarly well. Both have different strengths and weaknesses, so I still need to test them more. The weird part: the Pi harness performed worse than OpenCode for DeepSeek. More tests are coming, guys. Don’t worry

OmedTheVibeCoder

25,844 просмотров • 7 дней назад

Guys, stop underestimating the harness. GPT-5.6 Sol through Claude Code vs Codex produced a GIGANTIC difference in my benchmark. But Opus 5 is the real innovation: High, xHigh, and Max don’t just feel like different thinking levels—they feel like COMPLETELY DIFFERENT MODELS. It’s basically like getting three or four Opus models in one.
0:43
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Guys, stop underestimating the harness. GPT-5.6 Sol through Claude Code vs Codex produced a GIGANTIC difference in my benchmark. But Opus 5 is the real innovation: High, xHigh, and Max don’t just feel like different thinking levels—they feel like COMPLETELY DIFFERENT MODELS. It’s basically like getting three or four Opus models in one.

OmedTheVibeCoder

35,970 просмотров • 13 дней назад

You need to read this. Again. Qwen 3.8 Max Preview still performs badly in OpenCode and Qwen Code. Switch to the Claude Code harness, and it suddenly becomes dramatically better. This is reproducible. The harness difference is real.
0:30
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You need to read this. Again. Qwen 3.8 Max Preview still performs badly in OpenCode and Qwen Code. Switch to the Claude Code harness, and it suddenly becomes dramatically better. This is reproducible. The harness difference is real.

OmedTheVibeCoder

18,593 просмотров • 16 дней назад

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