claude-sonnet-4-5 vs gemini-3.5-flash
Side-by-side comparison of claude-sonnet-4-5 and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
claude-sonnet-4-5
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
anthropic/claude-sonnet-4-5
gemini-3.5-flash
Input / 1M
$1.50
Output / 1M
$9.00
Context
1.0M
Model ID
vertex/gemini-3.5-flash
Benchmark comparison
Intelligence Indexreasoning
claude-sonnet-4-5N/A
gemini-3.5-flash50.2%
Coding Indexcoding
claude-sonnet-4-5N/A
gemini-3.5-flash70.1%
GPQA Diamondreasoning
claude-sonnet-4-5N/A
gemini-3.5-flash92.2%
Terminal-Bench Hardagentic
claude-sonnet-4-5N/A
gemini-3.5-flash40.9%
τ²-Benchagentic
claude-sonnet-4-5N/A
gemini-3.5-flash95.3%
SciCodecoding
claude-sonnet-4-5N/A
gemini-3.5-flash53.1%
Humanity's Last Examreasoning
claude-sonnet-4-5N/A
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-sonnet-4-5 | gemini-3.5-flash | |
|---|---|---|
| Input price / 1M | $3.00 | $1.50 |
| Output price / 1M | $15.00 | $9.00 |
| Context window | 1M tokens | 1.0M tokens |
| Max output | 64K tokens | 66K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | Yes | N/A |
| Provider | Anthropic PBC | Google LLC (Vertex AI) |
Questions people ask
Is claude-sonnet-4-5 better than gemini-3.5-flash?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, claude-sonnet-4-5 or gemini-3.5-flash?
gemini-3.5-flash is cheaper. claude-sonnet-4-5 costs $3.00/$15.00 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use claude-sonnet-4-5 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-sonnet-4-5" and "vertex/gemini-3.5-flash", no other code changes needed.
What are the context windows?
claude-sonnet-4-5 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-sonnet-4-5 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.