Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | 8B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 1M | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $8.00Verified organizations only | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $40.00 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.20 | — |
| $3,600Anthropic list price | — | |
| These models have no shared benchmark scores. | ||
Terminal-Bench-Science 0.1Agentic scientific computing — The same command-line setup as Terminal-Bench, pointed at scientific work: the AI has to drive research tooling and computational workflows through to a result, rather than administer a machine. Version 0.1 is the first release of the task set, and scores run lower than on the general board. Higher is better. | 75.3% | — |
De novo binder design (24 hr)Protein design — de novo protein binder design within a 24-hour budget, as reported by Anthropic | 85.1% | — |
CyScenarioBenchCybersecurity — multi-step cybersecurity scenarios; each lab runs its own unique task set, so scores from different labs do not compare | 76.3% | — |
CVE RediscoveryCybersecurity — Anthropic internal evaluation: share of 1,829 published CVEs a model finds on its own from a snapshot of the project before the fix | 89.6% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Nov 9 2026 | Oct 16 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude Mythos 5.2vsGPT-6.1 TerraMinistral 8BvsGPT-6.1 TerraClaude Mythos 5.2vsGemini 4 CarbonMinistral 8BvsGemini 4 CarbonClaude Mythos 5.2vsMuse EmberMinistral 8BvsMuse EmberClaude Mythos 5.2vsGrok 4.7Ministral 8BvsGrok 4.7Claude Mythos 5.2vsDeepSeek-V4.1-Flash-1017Ministral 8BvsDeepSeek-V4.1-Flash-1017Claude Mythos 5.2vsKimi K3.1 ProMinistral 8BvsKimi K3.1 ProFrequently asked questions
Claude Mythos 5.2 and Ministral 8B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Claude Mythos 5.2 has a verified first-party price for an available API: $8.00 per million input tokens and $40.00 per million output tokens. No currently available pay-as-you-go API rate is tracked for Ministral 8B. Claude Mythos 5.2 requires organization verification. Ministral 8B shipped 754 days before Claude Mythos 5.2, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Claude Mythos 5.2) vs 128k (Ministral 8B). Claude Mythos 5.2 is closed, while Ministral 8B is open weight.
Direct benchmark comparisons are unavailable — Claude Mythos 5.2 and Ministral 8B don't publish scores on any of the same benchmarks.