Seed 2.1 Turbo vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Seed 2.1 Turbo | Qwen3.8-Max |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.4 | UnrankedNot in the 46-model eligible cohort | #9 of 4678.8 score · 2/3-source partial |
| CostLower is better · Published-token output estimate | UnrankedNot in the 45-model eligible cohort | #24 of 45$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.1 | UnrankedNot in the 38-model eligible cohort | #7 of 3861.3 score · 2/3-source intelligence |
Ranks come from current available eligible cohorts. Intelligence may use a labeled two-of-three partial core. Green highlights appear only when both models are ranked in the same metric, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Seed 2.1 Turbo | Qwen3.8-Max |
|---|---|---|
| Developer | ByteDance Seed | Qwen |
| Family | Seed 2 1 | Qwen3 8 Max |
| Model | Seed 2.1 Turbo | Qwen3.8-Max |
| Version | Seed 2.1 Turbo | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-06-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | Unknown | 1,000K |
| Total parameters | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools, vision |
11 comparable fields · 5 material differences · Pair passes the primary-source comparison gate
Seed 2.1 Turbo Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Seed 2.1 Turbo vs Qwen3.8 Max FAQs
Is Seed 2.1 Turbo or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.1 Turbo and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.1 Turbo or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, Seed 2.1 Turbo or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. Seed 2.1 Turbo is — and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, Seed 2.1 Turbo or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.1 Turbo or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Seed 2.1 Turbo is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Seed 2.1 Turbo and Qwen3.8 Max understand images?+
Seed 2.1 Turbo is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.1 Turbo or Qwen3.8 Max?+
Neither has a larger sourced maximum output. Seed 2.1 Turbo is — and Qwen3.8 Max is 131K.
Do Seed 2.1 Turbo and Qwen3.8 Max support reasoning and tool use?+
Seed 2.1 Turbo: reasoning, tool calling, and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.1 Turbo or Qwen3.8 Max?+
Seed 2.1 Turbo has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Seed 2.1 Turbo or Qwen3.8 Max?+
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.