Gemini 1.5 Pro vs Llama 3.3 70B: Detailed Comparison

Choosing between Gemini 1.5 Pro (Google) and Llama 3.3 70B (Meta) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. Gemini 1.5 Pro costs $1.25/M input vs $0.59/M for Llama 3.3 70B; context windows are 2.0M vs 128K tokens. Detailed breakdown below.

Side-by-side specs

SpecGemini 1.5 ProLlama 3.3 70B
ProviderGoogleMeta
Released2024-02-152024-12-06
Input price $1.25/M $0.59/M
Output price $5.00/M $0.79/M
Cached input $0.3100/M
Context window 2.0M 128K
Max output 8K 8K
Modalities text image audio video text
Tokenizer gemini llama-3

Capability matrix

CapabilityGemini 1.5 ProLlama 3.3 70B
function calling Yes Yes
json mode Yes Yes
vision Yes No
streaming Yes Yes
audio Yes No
video Yes No
tool use No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryGemini 1.5 ProLlama 3.3 70BΔ
MMLU general 86.0
HumanEval coding 88.4

Per-call cost on typical workloads

Workload (in/out tokens)Gemini 1.5 ProLlama 3.3 70BCheaper by
Standard chat (1K / 500) $0.003750 $0.000985 Llama 3.3 70B by $0.002765
RAG (4K / 500) $0.007500 $0.002755 Llama 3.3 70B by $0.004745
Long doc (20K / 1K) $0.030000 $0.012590 Llama 3.3 70B by $0.017410
Very long context (100K / 2K) $0.132500 $0.060185 Llama 3.3 70B by $0.072315

When to choose Gemini 1.5 Pro over Llama 3.3 70B

  • Larger context window (2.0M vs 128K) — relevant when whole documents or long histories must fit in a single call.
  • Supports vision — Llama 3.3 70B does not.
  • Supports audio — Llama 3.3 70B does not.
  • Supports video — Llama 3.3 70B does not.

When to choose Llama 3.3 70B over Gemini 1.5 Pro

  • Per-token input cost is 53% lower than Gemini 1.5 Pro.
  • Supports tool use — Gemini 1.5 Pro does not.

Related comparisons