Anthropic vs Meta (Llama)
Anthropic (30 models) vs Meta (Llama) (8 models) - compared across composite scores, pricing, capabilities, and context windows.
Anthropic
View all modelsMeta (Llama)
View all modelsHead-to-Head: Anthropic vs Meta (Llama) Model Matchups
Capability Comparison
| Capability | Anthropic | Meta (Llama) | Leader |
|---|---|---|---|
Vision | 30/30 | 3/8 | Anthropic |
Reasoning | 30/30 | 0/8 | Anthropic |
Function Calling | 30/30 | 4/8 | Anthropic |
JSON Mode | 29/30 | 5/8 | Anthropic |
Web Search | 30/30 | 0/8 | Anthropic |
Streaming | 30/30 | 8/8 | Anthropic |
Image Output | 0/30 | 0/8 | Tie |
Pricing Comparison
| Metric | Anthropic | Meta (Llama) |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.050 Claude Haiku 5.5 (batch) | $0.027 Llama 3.1 8B Instruct |
| Cheapest Output (per 1M tokens) | $0.250 | $0.080 |
| Most Expensive Input (per 1M tokens) | $15.00 Claude Opus 4.1 | $0.720 Llama 4 Maverick |
| Most Expensive Output (per 1M tokens) | $75.00 | $1.00 |
| Free Models | 0 | 0 |
| Max Context Window | 1.0M | 1.3M |
All Anthropic Models (30)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Claude Fable 5.1 | 96 | $10.00 | $50.00 |
| Claude Fable 5.1 (batch) | 96 | $5.00 | $25.00 |
| Claude Fable 5 | 96 | $10.00 | $50.00 |
| Claude Fable 5 (batch) | 96 | $5.00 | $25.00 |
| Claude Opus 5.5 | 95 | $4.00 | $20.00 |
| Claude Opus 5 | 95 | $5.00 | $25.00 |
| Claude Opus 4.8 | 95 | $5.00 | $25.00 |
| Claude Opus 4.7 | 95 | $5.00 | $25.00 |
| Claude Opus 4.6 | 90 | $5.00 | $25.00 |
| Claude Sonnet 5.5 | 85 | $2.00 | $10.00 |
| Claude Sonnet 5 | 85 | $2.00 | $10.00 |
| Claude Sonnet 4.6 | 85 | $3.00 | $15.00 |
| Claude Opus 4.5 | 85 | $5.00 | $25.00 |
| Claude Opus 4.5 (batch) | 85 | $2.50 | $12.50 |
| Claude Opus 4.8 (batch) | 84 | $2.50 | $12.50 |
| Claude Opus 4.7 (batch) | 84 | $2.50 | $12.50 |
| Claude Opus 4.6 (batch) | 84 | $2.50 | $12.50 |
| Claude Opus 4.1 (batch) | 83 | $7.50 | $37.50 |
| Claude Sonnet 4.5 | 82 | $3.00 | $15.00 |
| Claude Opus 4.1 | 82 | $15.00 | $75.00 |
All Meta (Llama) Models (8)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Llama 4 Maverick | 70 | $0.350 | $1.00 |
| Llama 3.3 70B Instruct | 67 | $0.590 | $0.790 |
| Llama 3.1 70B Instruct | 64 | $0.720 | $0.720 |
| Llama 4 Scout | 60 | $0.100 | $0.300 |
| Llama 3.1 8B Instruct | 41 | $0.050 | $0.080 |
| Llama Guard 4 12B | 40 | $0.180 | $0.180 |
| Llama 3.2 3B Instruct | 29 | $0.051 | $0.335 |
| Llama 3.2 1B Instruct | 11 | $0.027 | $0.201 |
More Provider Comparisons
Compare any two AI providers side-by-side.
Anthropic's models average 55/100 performance versus Llama's 34/100, with Claude Sonnet 4.6 hitting 66/100 compared to Llama 4 Maverick's 54/100. The premium buys you 100% vision and function calling coverage across all 13 Anthropic models, while Llama only offers vision on 4/14 models and function calling on 7/14.
Meta's 14 models have zero reasoning capability (0/14) and no web search integration (0/14), while Anthropic provides reasoning in 11/13 models and web search in 12/13. This makes Llama unsuitable for complex analytical tasks or real-time information retrieval workflows that Claude models handle natively.
All 14 Llama models are open source with 2 available completely free, enabling self-hosting and fine-tuning without API costs or vendor lock-in. Anthropic's 13 closed models require API access at $1.25-$150/M output tokens but deliver 21-point higher average performance (55 vs 34) with guaranteed uptime and no infrastructure overhead.
Anthropic provides vision across all 13 models with scores averaging 55/100, while Meta only offers vision in 4/14 models despite pricing as low as $0.040/M. For vision-heavy workloads, paying Anthropic's premium gets you 3.25x more model options and consistently higher performance scores.
Using cheapest options: Meta's Llama at $0.040/M costs $4/month while Anthropic at $1.25/M costs $125/month - a 31x difference. However, Anthropic's Claude models include reasoning (11/13) and web search (12/13) capabilities that Llama completely lacks, potentially eliminating the need for additional specialized models or custom implementations.
Both providers max out at 1M tokens, but Anthropic's models leverage this with 85% reasoning coverage (11/13) for complex document analysis, while Llama's 0/14 reasoning support limits large context use to basic retrieval. Claude Sonnet 4.6 at 66/100 can handle sophisticated long-context tasks that even Llama 4 Maverick at 54/100 cannot attempt due to missing reasoning capabilities.