DeepSeek R1 V3.2 vs Llama 4 Maverick
DeepSeek R1 V3.2 vs Llama 4 Maverick: Llama 4 Maverick is cheaper for input-heavy usage ($0.27/M vs $0.28/M input tokens), while Llama 4 Maverick is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Llama 4 Maverick for lower token spend and choose Llama 4 Maverick when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
Llama 4 Maverick
Cost Differences
Llama 4 Maverick costs more than DeepSeek R1 V3.2
Quick Recommendation
Winner for direct API pricing: DeepSeek R1 V3.2. At the default workload, DeepSeek R1 V3.2 saves about $0.615/month ($7.4825/year) versus Llama 4 Maverick.
Feature Comparison
| Feature | DeepSeek R1 V3.2 | Llama 4 Maverick |
|---|---|---|
| Provider | DeepSeek | Meta (via Together AI) |
| Input Price | $0.28/1M tokens | $0.27/1M tokens |
| Output Price | $0.42/1M tokens | $0.85/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 65,536 tokens | 65,536 tokens |
| Category | reasoning | flagship |
| Capabilities | textreasoningcode | textvisioncode |
| Release Date | 1/20/2025 | 4/5/2025 |
DeepSeek R1 V3.2 vs Llama 4 Maverick: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 tokens vs 128,000 for DeepSeek R1 V3.2.
These models come from different providers — DeepSeek and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while Llama 4 Maverick is flagship. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while Llama 4 Maverick offers better value for routine operations.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Multimodal capabilities: Llama 4 Maverick supports vision (image inputs) while DeepSeek R1 V3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • You're already using DeepSeek's API ecosystem
Choose Llama 4 Maverick when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
DeepSeek R1 V3.2
- • Input pricing: $0.28/M tokens
- • Output pricing: $0.42/M tokens
- • Context window: 128,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher input cost than Llama 4 Maverick
- • Smaller context window than Llama 4 Maverick
Llama 4 Maverick
- • Input pricing: $0.27/M tokens
- • Output pricing: $0.85/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher output cost than DeepSeek R1 V3.2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek R1 V3.2 (DeepSeek)
Llama 4 Maverick (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, DeepSeek R1 V3.2 or Llama 4 Maverick?▼
What is the context window difference between DeepSeek R1 V3.2 and Llama 4 Maverick?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare DeepSeek and Meta (via Together AI) API pricing beyond this model matchup?▼
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