Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.
Model details →ByteDance Seed: Seed 1.6 vs Mistral: Mistral Small 4
Mistral: Mistral Small 4 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, an…
Model details →Side-by-side comparison
| Capability | ByteDance Seed: Seed 1.6 | Mistral: Mistral Small 4 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.15 | 🏆 Mistral: Mistral Small 4 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.00 | $0.60 | 🏆 Mistral: Mistral Small 4 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is ByteDance Seed: Seed 1.6 better than Mistral: Mistral Small 4?
Mistral: Mistral Small 4 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between ByteDance Seed: Seed 1.6 and Mistral: Mistral Small 4?
Input: $0.25 vs $0.15 per 1M tokens. Output: $2.00 vs $0.60 per 1M tokens.
What context windows do ByteDance Seed: Seed 1.6 and Mistral: Mistral Small 4 support?
ByteDance Seed: Seed 1.6 supports up to 262K tokens. Mistral: Mistral Small 4 supports up to 262K tokens.
Do both ByteDance Seed: Seed 1.6 and Mistral: Mistral Small 4 support tool calling?
ByteDance Seed: Seed 1.6: yes. Mistral: Mistral Small 4: yes.