DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
Model details →DeepSeek Chat (legacy id) vs IBM: Granite 4.1 8B
IBM: Granite 4.1 8B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
Model details →Side-by-side comparison
| Capability | DeepSeek Chat (legacy id) | IBM: Granite 4.1 8B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek Chat (legacy id) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.26 | $0.05 | 🏆 IBM: Granite 4.1 8B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.03 | $0.10 | 🏆 IBM: Granite 4.1 8B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is DeepSeek Chat (legacy id) better than IBM: Granite 4.1 8B?
IBM: Granite 4.1 8B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek Chat (legacy id) and IBM: Granite 4.1 8B?
Input: $0.26 vs $0.05 per 1M tokens. Output: $1.03 vs $0.10 per 1M tokens.
What context windows do DeepSeek Chat (legacy id) and IBM: Granite 4.1 8B support?
DeepSeek Chat (legacy id) supports up to 164K tokens. IBM: Granite 4.1 8B supports up to 131K tokens.
Do both DeepSeek Chat (legacy id) and IBM: Granite 4.1 8B support tool calling?
DeepSeek Chat (legacy id): yes. IBM: Granite 4.1 8B: yes.
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