Qwen3.5 35B A3B vs Claude Mythos 5.1
At a Glance
| Compare | Qwen3.5 35B A3BQwen | Claude Mythos 5.1Anthropic |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.14Deepinfra ↗ · Sep 21, 2026 | $10.00Anthropic ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $1.00Deepinfra ↗ · Sep 21, 2026 | $50.00Anthropic ↗ · Sep 2, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 | Qwen3.5-35B-A3B | Claude Mythos 5.1 |
|---|---|---|
| Developer | Qwen | Anthropic |
| Family | Qwen3 5 35b A3b | Claude 5 1 |
| Model | Qwen3.5-35B-A3B | Claude Mythos 5.1 |
| Version | Qwen3.5-35B-A3B | Claude Mythos 5.1 |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-01 |
| Knowledge cutoff | Unknown | 2026-06-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 36B | Unknown |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Anthropic (Project Glasswing) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Qwen3.5 35B A3B Capabilities
Claude Mythos 5.1 Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B vs Claude Mythos 5.1 FAQs
Is Qwen3.5 35B A3B or Claude Mythos 5.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B and Claude Mythos 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B or Claude Mythos 5.1?+
Qwen3.5 35B A3B is $0.14 and Claude Mythos 5.1 is $10.00 per million tokens, so Qwen3.5 35B A3B is cheaper on this metric. Qwen3.5 35B A3B is $1.00 and Claude Mythos 5.1 is $50.00 per million tokens, so Qwen3.5 35B A3B is cheaper on this metric.
Which has a larger context window, Qwen3.5 35B A3B or Claude Mythos 5.1?+
Claude Mythos 5.1 has the larger sourced context window. Qwen3.5 35B A3B supports 262K and Claude Mythos 5.1 supports 1,000K.
Which performs better in benchmarks, Qwen3.5 35B A3B or Claude Mythos 5.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 35B A3B or Claude Mythos 5.1 be self-hosted?+
Qwen3.5 35B A3B is the only model in this pair currently marked as self-hostable. Qwen3.5 35B A3B is open weight; Claude Mythos 5.1 is not marked open weight.
Can Qwen3.5 35B A3B and Claude Mythos 5.1 understand images?+
Qwen3.5 35B A3B is documented with image input; Claude Mythos 5.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B or Claude Mythos 5.1?+
Neither has a larger sourced maximum output. Qwen3.5 35B A3B is — and Claude Mythos 5.1 is 128K.
Do Qwen3.5 35B A3B and Claude Mythos 5.1 support reasoning and tool use?+
Qwen3.5 35B A3B: reasoning, tool calling, and image input. Claude Mythos 5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B or Claude Mythos 5.1?+
Qwen3.5 35B A3B has 4 sourced provider routes; Claude Mythos 5.1 has 1, so Qwen3.5 35B A3B has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B or Claude Mythos 5.1?+
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.