These scores were compiled from the linked sources. These published scores were not independently tested here. Different prompts, precision, thinking budgets and tools can change results.
GSM8K · Qwythos 100
86 / 100
Publisher-selected harness limit of 100 questions; flexible answer extraction. This is not full-test GSM8K accuracy.
Benchmark efficiency: 15.278 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.
Test settings: lm-evaluation-harness HF BF16 backend; --limit 100, chat template, temperature 0.6, top-p 0.95, top-k 20, 8,192 generated tokens; flexible extraction. GPQA is zero-shot CoT.
Small subset; not a full-test score. Public raw per-sample data is not supplied in the card. Q4_K_M is the publisher recommended fixed-v3 llama.cpp export; no independent retest.
Zero-shot chain-of-thought on a 100-question harness subset, flexible extraction. Separate from the full 198-question Diamond test.
Benchmark efficiency: 10.304 published score points per GB of selected weights. This ratio is not an inference-speed measure; check the test settings to see whether the score covers the selected quantization.
Test settings: lm-evaluation-harness HF BF16 backend; --limit 100, chat template, temperature 0.6, top-p 0.95, top-k 20, 8,192 generated tokens; flexible extraction. GPQA is zero-shot CoT.
Small subset; not a full-test score. Public raw per-sample data is not supplied in the card. Q4_K_M is the publisher recommended fixed-v3 llama.cpp export; no independent retest.
Context and version evidence: The repository and file name identify the selected model. Revision hashes are shown above when recorded. Tested context length, full hardware configuration and run date are not consistently recorded in this snapshot. Only settings explicitly stated in each benchmark record are known.
The 5.629 GB figure covers model weights in this file. It excludes the context cache, runtime, operating system and any separate multimodal files. It is not a measured RAM requirement or a token-generation speed.
Need a computer for Qwythos-9B Claude Mythos 5 1M?
These complete configurations pass the initial weight-size check for the selected 5.63 GB file. Allow extra memory for context and software. Check the model’s runtime notes and your inference software before buying.
Listing evidence: 2026-09-25. Amazon.com base price visible in an owner-supplied screenshot reviewed 25 Sep 2026; capture time not supplied. Dated reference, not a live quote. Excludes card signup offers, coupons, tax and shipping.
Listing evidence: 2026-10-03. Apple US launch price announced 22 September 2026: USD 1,699. Dated manufacturer reference, not an Amazon offer; tax and shipping may differ.
Listing evidence: 2026-09-24. GMKtec, EVO-X2 / 64GB / 1TB, recorded 22 Sep 2026; exact ASIN capacity identified 24 Sep. This is a dated reference, not a current Amazon price; tax, shipping and bundle contents may differ.
Memory matches are estimates, not tested compatibility or speed. As an Amazon Associate I earn from qualifying purchases.
Confirm model architecture and quantization support in your runner. The selected weights use 5.629 GB; this excludes context cache, runtime buffers and other programs.
These are the first listed tiers that pass our reserve policy, not measured minimum requirements. System RAM and VRAM remain separate. Use the memory tool to change the reserve for your context and runner.