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 Google: Gemma 4 31B
Google: Gemma 4 31B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Model details →Side-by-side comparison
| Capability | ByteDance Seed: Seed 1.6 | Google: Gemma 4 31B | 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 | $0.10 | 🏆 Google: Gemma 4 31B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.00 | $0.34 | 🏆 Google: Gemma 4 31B |
| 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 Google: Gemma 4 31B?
Google: Gemma 4 31B 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 Google: Gemma 4 31B?
Input: $0.25 vs $0.10 per 1M tokens. Output: $2.00 vs $0.34 per 1M tokens.
What context windows do ByteDance Seed: Seed 1.6 and Google: Gemma 4 31B support?
ByteDance Seed: Seed 1.6 supports up to 262K tokens. Google: Gemma 4 31B supports up to 262K tokens.
Do both ByteDance Seed: Seed 1.6 and Google: Gemma 4 31B support tool calling?
ByteDance Seed: Seed 1.6: yes. Google: Gemma 4 31B: yes.
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