Claude Mythos 5.1 vs Mistral Medium 3.5 128B
At a Glance
| Compare | Claude Mythos 5.1Anthropic | Mistral Medium 3.5 128BMistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $50.00Anthropic ↗ · Sep 2, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 262K |
| Model facts checked | Sep 2, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Claude Mythos 5.1 | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Anthropic | Mistral AI |
| Family | Claude 5 1 | Mistral Medium 3 5 128b |
| Model | Claude Mythos 5.1 | Mistral-Medium-3.5-128B |
| Version | Claude Mythos 5.1 | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2026-09-01 | Unknown |
| Knowledge cutoff | 2026-06-01 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | Unknown | 127.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Project Glasswing) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Claude Mythos 5.1 Capabilities
Mistral Medium 3.5 128B Capabilities
Primary Evidence
Sources and Freshness
Questions
Claude Mythos 5.1 vs Mistral Medium 3.5 128B FAQs
Is Claude Mythos 5.1 or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
Only Claude Mythos 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Mythos 5.1 has a directly sourced output price: $50.00 per million tokens.
Which has a larger context window, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
Claude Mythos 5.1 has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Mythos 5.1 or Mistral Medium 3.5 128B be self-hosted?+
Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; Mistral Medium 3.5 128B is open weight.
Can Claude Mythos 5.1 and Mistral Medium 3.5 128B understand images?+
Claude Mythos 5.1 is documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and Mistral Medium 3.5 128B is —.
Do Claude Mythos 5.1 and Mistral Medium 3.5 128B support reasoning and tool use?+
Claude Mythos 5.1: reasoning, tool calling, and image input. Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
Claude Mythos 5.1 has 1 sourced provider route; Mistral Medium 3.5 128B has 0, so Claude Mythos 5.1 has broader tracked availability.
Which offers better value, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.