SHEET 02
Equipment schedule
21 marks · B200 SXMOpen weights, run on boards we own. Replica sizes and throughputs are for the B200 SXM the fleet is built from, and every rate is derived from the cost model in appendix A rather than chosen.
| Mark | Model | Parameters | Licence | Context | Replica | Throughput | List | Per |
|---|---|---|---|---|---|---|---|---|
| H-01CodeSoftware engineering agents | ||||||||
| M-01 | Qwen3-Coder-480B-A35BDefault planner and editor for the code agent. | 480B / 35B act | Apache-2.0 | 262.144k | 2 GPU | 4.2k tok/s | $1.38 | 1M tok |
| M-02 | DeepSeek-V3.2Long-horizon reasoning; used for repository-wide refactors. | 685B / 37B act | MIT | 163.84k | 4 GPU | 7.0k tok/s | $1.64 | 1M tok |
| M-03 | Llama-4-MaverickWhole-codebase context without chunking. | 400B / 17B act | Llama 4 Community | 1,000k | 4 GPU | 7.9k tok/s | $1.45 | 1M tok |
| M-04 | Kimi-K2 (1T-A32B)Strongest open agentic tool-use; reserved for hard runs. | 1000B / 32B act | Modified MIT | 131.072k | 8 GPU | 6.8k tok/s | $3.40 | 1M tok |
| M-05 | GLM-4.6Balanced cost/quality workhorse. | 355B / 32B act | MIT | 200k | 4 GPU | 5.7k tok/s | $2.01 | 1M tok |
| M-06 | Qwen3-32BDense, latency-sensitive edits and completions. | 32B | Apache-2.0 | 131.072k | 1 GPU | 3.1k tok/s | $0.921 | 1M tok |
| M-07 | Devstral-SmallSingle-GPU tier for cheap loops and CI checks. | 24B | Apache-2.0 | 131.072k | 1 GPU | 4.9k tok/s | $0.582 | 1M tok |
| H-02Biological designProtein language models | ||||||||
| M-08 | ESM-C 6BRepresentation model — embeddings and variant effect scoring. | 6B | EvolutionaryScale Community | — | 1 GPU | 39.0k res/s | $0.074 | 1M res |
| M-09 | ESM3-open 1.4BGenerative PLM — sequence, structure and function conditioning. | 1.4B | EvolutionaryScale Community | — | 1 GPU | 10.4k res/s | $0.276 | 1M res |
| M-10 | ProGen2-xlargeFamily-conditioned de novo sequence generation. | 6.4B | Apache-2.0 | — | 1 GPU | 3.9k res/s | $0.737 | 1M res |
| M-11 | Boltz-2Co-folding and binding affinity in one pass. | 1.2B | MIT | — | 1 GPU | 0.13 struct/s | $22.11 | 1k struct |
| M-12 | RFdiffusionBackbone design for binders and scaffolds. | 60M | BSD-3-Clause | — | 1 GPU | 0.52 backbone/s | $5.53 | 1k backbone |
| H-03VisionVision-language models | ||||||||
| M-13 | Qwen3-VL-235B-A22BFrontier-class open VLM; documents, video, GUI grounding. | 235B / 22B act | Apache-2.0 | 262.144k | 4 GPU | 5.1k tok/s | $2.27 | 1M tok |
| M-14 | InternVL3-78BHigh-resolution tiling for dense diagrams and scans. | 78B | MIT | 32.768k | 2 GPU | 2.9k tok/s | $2.01 | 1M tok |
| M-15 | Molmo-72BPointing and spatial grounding with open training data. | 72B | Apache-2.0 | 32.768k | 2 GPU | 2.6k tok/s | $2.21 | 1M tok |
| M-16 | SAM 3Promptable segmentation and tracking. | 900M | SAM Licence | — | 1 GPU | 78 img/s | $0.037 | 1k img |
| M-17 | dots.ocrLayout-preserving document parsing to structured text. | 1.7B | MIT | — | 1 GPU | 6.5 page/s | $0.442 | 1k page |
| H-04KnowledgeRetrieval, embedding, synthesis | ||||||||
| M-18 | Qwen3-Embedding-8BMultilingual retrieval embeddings. | 8B | Apache-2.0 | 32.768k | 1 GPU | 249.6k tok/s | $0.012 | 1M tok |
| M-19 | BGE-M3Dense, sparse and multi-vector retrieval in one pass. | 570M | MIT | 8.192k | 1 GPU | 546.0k tok/s | $0.005 | 1M tok |
| M-20 | Qwen3-Reranker-4BCross-encoder rerank over retrieved candidates. | 4B | Apache-2.0 | 32.768k | 1 GPU | 166.4k tok/s | $0.017 | 1M tok |
| M-21 | Llama-4-ScoutTen-million-token context for whole-corpus synthesis. | 109B / 17B act | Llama 4 Community | 10,000k | 2 GPU | 4.4k tok/s | $1.30 | 1M tok |
21 models in service. Input billed at 25% of the listed output rate. Licences are as published by each model's authors — check them before commercial use. Prices are derived from the cost model in note A.1 and change when it changes.