LLM Models
4 models
| # | Model ↕ | Provider ↕ | Score ↕? | Context ↕? | Speed ↕? | MMLU ↕? | GPQA ↕? | HumanEval ↕? | SWE-B ↕? | Input $/1M ↕? | Output $/1M ↕? | ⭐ Top ↓? | OSS ↕? | Released ↕? |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | DeepSeek | - | 128K | - | - | - | - | - | $0.290 | $0.290 | - | ✓ OSS | Jan 2025 | |
2 | DeepSeek | - | 131K | - | - | - | - | - | $0.800 | $0.800 | - | ✓ OSS | Jan 2025 | |
3 | DeepSeek | 75 | 64K | 30 | 90.8 | 71.5 | 92.6 | 49.2 | $0.700 | $2.50 | - | ✓ OSS | Jan 2025 | |
4 | DeepSeek | 68 | 64K | 45 | 88.5 | 59.1 | 89.4 | 42.0 | $0.200 | $0.800 | - | ✓ OSS | - |
Score = MMLU×20% + GPQA×30% + HumanEval×25% + SWE-Bench×25%⭐ Top - average TECHAGENT user ratingtok/s - output tokens/sec via API
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