Claude Opus 4.6 vs Llama 4 Maverick
Anthropic vs Meta · Prices checked 12 August 2026
On blended cost Llama 4 Maverick undercuts Claude Opus 4.6 by about 34.4×: $0.320 per million tokens versus $11.00. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.750 on Claude Opus 4.6.
Of the 6 shared benchmarks, Claude Opus 4.6 takes 6. The widest gap is on LMArena Elo, where Claude Opus 4.6 leads by 68 points. On context, Claude Opus 4.6 is the larger at 1,000,000 tokens versus 128,000.
Pricing and capacity
| Metric | Claude Opus 4.6 | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $5.00 | $0.200 | 25.0× |
| Output / 1M tokens | $25.00 | $0.600 | 41.7× |
| Blended · 70/30calculated | $11.00 | $0.320 | 34.4× |
| Blended · 50/50calculated | $15.00 | $0.400 | 37.5× |
| Blended · 80/20calculated | $9.00 | $0.280 | 32.1× |
| Blended · 20/80calculated | $21.00 | $0.520 | 40.4× |
| Job cost · 100K + 10Kcalculated | $0.750 | $0.026 | 28.8× |
| Job cost · 1M + 100Kcalculated | $7.50 | $0.260 | 28.8× |
| Context window | 1,000,000 | 128,000 | 7.8× |
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 | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU | 88% | 85% | Claude Opus 4.6 |
| GPQA Diamond | 79% | 67% | Claude Opus 4.6 |
| MATH | 92% | 84% | Claude Opus 4.6 |
| HumanEval | 95% | 88% | Claude Opus 4.6 |
| SWE-bench Verified | 72% | 36% | Claude Opus 4.6 |
| LMArena Elo | 1378 Elo | 1310 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
Llama 4 Maverick
Meta · Frontier
The flagship Llama 4, an MoE-architecture model designed for cheap, high-throughput inference across the open-weights ecosystem.
- MoE for cheap inference
- Open weights
- Wide hosted availability
- Multimodal
Frequently asked questions
Which is cheaper, Claude Opus 4.6 or Llama 4 Maverick?
On blended cost Llama 4 Maverick undercuts Claude Opus 4.6 by about 34.4×: $0.320 per million tokens versus $11.00. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick 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 Llama 4 Maverick?
Of the 6 shared benchmarks, Claude Opus 4.6 takes 6. The widest gap is on LMArena Elo, where Claude Opus 4.6 leads by 68 points. 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 Llama 4 Maverick?
On context, Claude Opus 4.6 is the larger at 1,000,000 tokens versus 128,000. 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 Llama 4 Maverick 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.