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claude-opus-4-8 vs gemini-3.5-flash

Side-by-side comparison of claude-opus-4-8 and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-opus-4-8 outperforms gemini-3.5-flash on 5 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-opus-4-855.7%
gemini-3.5-flash50.2%
Coding Indexcoding
claude-opus-4-874.3%
gemini-3.5-flash70.1%
GPQA Diamondreasoning
claude-opus-4-892.0%
gemini-3.5-flash92.2%
Terminal-Bench Hardagentic
claude-opus-4-858.3%
gemini-3.5-flash40.9%
τ²-Benchagentic
claude-opus-4-894.4%
gemini-3.5-flash95.3%
SciCodecoding
claude-opus-4-853.5%
gemini-3.5-flash53.1%
Humanity's Last Examreasoning
claude-opus-4-845.7%
gemini-3.5-flash41.0%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

claude-opus-4-8gemini-3.5-flash
Input price / 1M$5.00$1.50
Output price / 1M$25.00$9.00
Context window1M tokens1.0M tokens
Max output128K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYesN/A
ProviderAnthropic PBCGoogle LLC (Vertex AI)

Questions people ask

Is claude-opus-4-8 better than gemini-3.5-flash?
claude-opus-4-8 outperforms gemini-3.5-flash on 5 of 7 shared benchmarks. See the benchmark comparison above for specifics: claude-opus-4-8 and gemini-3.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-opus-4-8 or gemini-3.5-flash?
gemini-3.5-flash is cheaper. claude-opus-4-8 costs $5.00/$25.00 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use claude-opus-4-8 and gemini-3.5-flash through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "anthropic/claude-opus-4-8" and "vertex/gemini-3.5-flash", no other code changes needed.
What are the context windows?
claude-opus-4-8 supports up to 1M tokens of context. gemini-3.5-flash supports up to 1.0M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between claude-opus-4-8 and gemini-3.5-flash with one line of code

Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.