Compare gemini/gemini-2.5-pro vs bedrock/llama3-8b-instruct-v1.0

Model Comparison

Metric	gemini-2.5-pro gemini	llama3-8b-instruct-v1.0 bedrock
Pricing
Input Price	$1.25 / 1M tokens	$0.3 / 1M tokens
Output Price	$10 / 1M tokens	$0.6 / 1M tokens
Capabilities
Context Window	1M tokens	32K tokens
Capabilities	tools
Input type	text, image, audio, video	text
Category Scores
Overall Average	71.3	0.0
Maths	87.7	N/A
Vision	79.6	N/A
Finance	73.7	N/A
Science	77.9	N/A
Writing	64.9	N/A
Academia	71.7	N/A
Marketing	66.1	N/A
Programming	49.3	N/A
Benchmark Tests
HLE	21.1	_
AIME	88.7	_
GPQA	83.7	_
MMMU	79.6	_
SciCode	42.8	_
MATH-500	96.7	_
MMLU-Pro	86.2	_
LiveCodeBench	80.1	_
AA Math Index	87.7	_
AA Coding Index	49.3	_
AAII	59.6	_

gemini-2.5-pro Advantages

• Higher benchmark scores (71.3 vs 0.0)
• Larger context window (1M tokens vs 32K tokens)

llama3-8b-instruct-v1.0 Advantages

• Lower input token cost ($0.3 / 1M tokens vs $1.25 / 1M tokens)

Compare gemini/gemini-2.5-pro vs bedrock/llama3-8b-instruct-v1.0