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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
