Requesty

claude-sonnet-4-6 vs gemini-3.8-flash

Side-by-side comparison of claude-sonnet-4-6 and gemini-3.8-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.8-flash outperforms claude-sonnet-4-6 on 4 of 4 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-sonnet-4-638.5%
gemini-3.8-flash47.1%
Coding Indexcoding
claude-sonnet-4-663.0%
gemini-3.8-flash76.3%
GPQA Diamondreasoning
claude-sonnet-4-687.5%
gemini-3.8-flash95.3%
Terminal-Bench Hardagentic
claude-sonnet-4-653.0%
gemini-3.8-flashN/A
τ²-Benchagentic
claude-sonnet-4-675.7%
gemini-3.8-flashN/A
SciCodecoding
claude-sonnet-4-6N/A
gemini-3.8-flash56.6%
Humanity's Last Examreasoning
claude-sonnet-4-633.6%
gemini-3.8-flash47.8%

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-sonnet-4-6gemini-3.8-flash
Input price / 1M$3.00$1.50$0.75
Output price / 1M$15.00$7.50$3.75
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-sonnet-4-6 better than gemini-3.8-flash?
gemini-3.8-flash outperforms claude-sonnet-4-6 on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-4-6 and gemini-3.8-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-4-6 or gemini-3.8-flash?
gemini-3.8-flash is cheaper. claude-sonnet-4-6 costs $3.00/$15.00 per 1M input/output tokens, while gemini-3.8-flash costs $0.75/$3.75. The prices shown are what you pay: gemini-3.8-flash runs at 50% off its list rate of $1.50 per 1M input and $7.50 per 1M output.
Can I use claude-sonnet-4-6 and gemini-3.8-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-sonnet-4-6" and "vertex/gemini-3.8-flash", no other code changes needed.
What are the context windows?
claude-sonnet-4-6 supports up to 1M tokens of context. gemini-3.8-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-sonnet-4-6 and gemini-3.8-flash with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.