Grok-2 vs DeepSeek V3
Head-to-head specifications
| Metric | Grok-2 | DeepSeek V3 | Difference |
|---|---|---|---|
| MMLU (general capability) | 87.5% | 88.5% | -1.0% |
| Context window | 128K tokens | 128K tokens | — |
| Price (input / output per 1M) | $2 / $10 | Open weights | — |
| Access | Proprietary API | Open weights | — |
- DeepSeek V3 leads general capability (MMLU 88.5% vs 87.5%).
Verdict: Grok-2 or DeepSeek V3?
Grok-2 advantages
- No decisive advantage on the tracked metrics.
DeepSeek V3 advantages
- No decisive advantage on the tracked metrics.
Value for money
DeepSeek V3 is open-weight and can be self-hosted, which can dramatically lower cost at scale versus a per-token API.
Grok-2 vs DeepSeek V3: which should you choose?
Grok-2 — xAI large language model (2024) with a 128K-token context window and an MMLU score of 87.5%.
DeepSeek V3 — DeepSeek large language model (2024) with a 128K-token context window and an MMLU score of 88.5%, released with open weights.
Grok-2 vs DeepSeek V3: DeepSeek V3 scores higher on the MMLU benchmark. DeepSeek V3 leads general capability (MMLU 88.5% vs 87.5%).
Capability and reasoning
On MMLU — a 57-subject benchmark of general knowledge and reasoning — the DeepSeek V3 scores 88.5% versus 87.5%. MMLU is a useful proxy for raw knowledge but does not capture instruction-following, coding, tool use, latency or safety, so treat it as one signal among several.
Context window
The Grok-2 handles up to 128K tokens per request, which sets how much documentation, transcript or code it can reason over at once — decisive for retrieval-augmented and long-document workflows.
Pricing and access
Grok-2 is proprietary api and DeepSeek V3 is open weights. Proprietary models bill per token via API; open-weight models can be self-hosted, trading per-call cost for infrastructure you manage. For production, weigh throughput, rate limits and data-residency needs alongside headline price.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the Grok-2 better than the DeepSeek V3?
On paper these are near-identical; decide on price, availability or brand preference. DeepSeek V3 leads general capability (MMLU 88.5% vs 87.5%).
What is the main difference between the Grok-2 and the DeepSeek V3?
DeepSeek V3 leads general capability (MMLU 88.5% vs 87.5%).
Which is better value?
DeepSeek V3 is open-weight and can be self-hosted, which can dramatically lower cost at scale versus a per-token API.
Methodology
Large language models are compared on the MMLU benchmark (a widely-cited 57-subject test of general knowledge and reasoning, reported as a percentage), maximum context window, and published API pricing per million input and output tokens. Open-weight models can also be self-hosted. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit.