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Most RecentNVIDIA's new open-source model does the grunt work for AI agents
Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.
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Terminal-Bench 3.0 has a new leader: Claude Opus 5 Max + mini-SWE-agent tops the board at 43.5%, beating GPT-5.6 Sol Max with Codex. But the benchmark measures the model and agent together, not the model alone.