Claude Opus 4.6 vs DeepSeek-V3
Anthropic vs DeepSeek · Prices checked 12 August 2026
There is a 21.2× price gap here. DeepSeek-V3 blends to $0.519 per million tokens; Claude Opus 4.6 to $11.00. A single 100K-input, 10K-output job costs $0.038 on DeepSeek-V3 against $0.750 on Claude Opus 4.6.
Capability favours Claude Opus 4.6, ahead on 5 of 6 suites they both publish. The widest gap is on LMArena Elo, where Claude Opus 4.6 leads by 60 points. 1 suite tied. Claude Opus 4.6 reads more in one request: 1,000,000 tokens of context against 64,000.
Pricing and capacity
| Metric | Claude Opus 4.6 | DeepSeek-V3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $5.00 | $0.270 | 18.5× |
| Output / 1M tokens | $25.00 | $1.10 | 22.7× |
| Blended · 70/30calculated | $11.00 | $0.519 | 21.2× |
| Blended · 50/50calculated | $15.00 | $0.685 | 21.9× |
| Blended · 80/20calculated | $9.00 | $0.436 | 20.6× |
| Blended · 20/80calculated | $21.00 | $0.934 | 22.5× |
| Job cost · 100K + 10Kcalculated | $0.750 | $0.038 | 19.7× |
| Job cost · 1M + 100Kcalculated | $7.50 | $0.380 | 19.7× |
| Context window | 1,000,000 | 64,000 | 15.6× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
| Benchmark | Claude Opus 4.6 | DeepSeek-V3 | Leader |
|---|---|---|---|
| MMLU | 88% | 88% | Level |
| GPQA Diamond | 79% | 59% | Claude Opus 4.6 |
| MATH | 92% | 90% | Claude Opus 4.6 |
| HumanEval | 95% | 89% | Claude Opus 4.6 |
| SWE-bench Verified | 72% | 42% | Claude Opus 4.6 |
| LMArena Elo | 1378 Elo | 1318 Elo | Claude Opus 4.6 |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
Claude Opus 4.6
Anthropic · Previous
The flagship of the Claude 4 generation. 1M-token context is GA, and Opus 4.6 leads on agentic coding, long-horizon reasoning and tool-use reliability.
- Agentic coding (Claude Code)
- 1M-token context, GA
- Tool use & function calling
- Multi-step reasoning
DeepSeek-V3
DeepSeek · Frontier
Open-weights frontier model that matched GPT-4-class quality at a fraction of the inference cost. Sparked the late-2024 cost reset.
- Frontier quality, open weights
- Aggressive pricing
- Strong code & math
- MoE architecture
Frequently asked questions
Which is cheaper, Claude Opus 4.6 or DeepSeek-V3?
There is a 21.2× price gap here. DeepSeek-V3 blends to $0.519 per million tokens; Claude Opus 4.6 to $11.00. A single 100K-input, 10K-output job costs $0.038 on DeepSeek-V3 against $0.750 on Claude Opus 4.6. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, Claude Opus 4.6 or DeepSeek-V3?
Capability favours Claude Opus 4.6, ahead on 5 of 6 suites they both publish. The widest gap is on LMArena Elo, where Claude Opus 4.6 leads by 60 points. 1 suite tied. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, Claude Opus 4.6 or DeepSeek-V3?
Claude Opus 4.6 reads more in one request: 1,000,000 tokens of context against 64,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Claude Opus 4.6 and DeepSeek-V3 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.