Claude Haiku 4.5 vs Llama 3.3 70B
Anthropic vs Meta · Prices checked 12 August 2026
There is a 6.3× price gap here. Llama 3.3 70B blends to $0.281 per million tokens; Claude Haiku 4.5 to $1.76. A single 100K-input, 10K-output job costs $0.027 on Llama 3.3 70B against $0.120 on Claude Haiku 4.5.
The 5 benchmarks they both publish do not separate them; wins are shared. Claude Haiku 4.5 reads more in one request: 200,000 tokens of context against 128,000.
Pricing and capacity
| Metric | Claude Haiku 4.5 | Llama 3.3 70B | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.800 | $0.230 | 3.5× |
| Output / 1M tokens | $4.00 | $0.400 | 10.0× |
| Blended · 70/30calculated | $1.76 | $0.281 | 6.3× |
| Blended · 50/50calculated | $2.40 | $0.315 | 7.6× |
| Blended · 80/20calculated | $1.44 | $0.264 | 5.5× |
| Blended · 20/80calculated | $3.36 | $0.366 | 9.2× |
| Job cost · 100K + 10Kcalculated | $0.120 | $0.027 | 4.4× |
| Job cost · 1M + 100Kcalculated | $1.20 | $0.270 | 4.4× |
| Context window | 200,000 | 128,000 | 36% |
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 Haiku 4.5 | Llama 3.3 70B | Leader |
|---|---|---|---|
| MMLU | 78% | 86% | Llama 3.3 70B |
| GPQA Diamond | 56% | 50% | Claude Haiku 4.5 |
| MATH | 75% | 77% | Llama 3.3 70B |
| HumanEval | 80% | 80% | Level |
| LMArena Elo | 1280 Elo | 1257 Elo | Claude Haiku 4.5 |
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 Haiku 4.5
Anthropic · Efficient
The fastest, cheapest current-gen Claude. Built for high-throughput classification, summarisation and routing.
- Sub-second latency
- Affordable at scale
- 200K context
- Tool calling at speed
Llama 3.3 70B
Meta · Open
The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.
- Strong open chat baseline
- Cheap on Groq/Cerebras
- 128K context
- Wide ecosystem
Frequently asked questions
Which is cheaper, Claude Haiku 4.5 or Llama 3.3 70B?
There is a 6.3× price gap here. Llama 3.3 70B blends to $0.281 per million tokens; Claude Haiku 4.5 to $1.76. A single 100K-input, 10K-output job costs $0.027 on Llama 3.3 70B against $0.120 on Claude Haiku 4.5. 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 Haiku 4.5 or Llama 3.3 70B?
The 5 benchmarks they both publish do not separate them; wins are shared. 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 Haiku 4.5 or Llama 3.3 70B?
Claude Haiku 4.5 reads more in one request: 200,000 tokens of context against 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 Haiku 4.5 and Llama 3.3 70B 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.