claude-sonnet-4-6 vs glm-5.3-flash
Side-by-side comparison of claude-sonnet-4-6 and glm-5.3-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. glm-5.3-flash outperforms claude-sonnet-4-6 on 5 of 5 shared benchmarks.
claude-sonnet-4-6
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
anthropic/claude-sonnet-4-6
glm-5.3-flash
Input / 1M
$0.15
Output / 1M
$0.50
Context
1M
Model ID
zai/glm-5.3-flash
Benchmark comparison
Intelligence Indexreasoning
claude-sonnet-4-630.1%
glm-5.3-flash41.8%
Coding Indexcoding
claude-sonnet-4-663.0%
glm-5.3-flash71.5%
GPQA Diamondreasoning
claude-sonnet-4-687.5%
glm-5.3-flash91.2%
Terminal-Bench Hardagentic
claude-sonnet-4-653.0%
glm-5.3-flashN/A
τ²-Benchagentic
claude-sonnet-4-675.7%
glm-5.3-flashN/A
SciCodecoding
claude-sonnet-4-650.1%
glm-5.3-flash51.6%
Humanity's Last Examreasoning
claude-sonnet-4-633.6%
glm-5.3-flash39.9%
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-4-6 | glm-5.3-flash | |
|---|---|---|
| Input price / 1M | $3.00 | $0.15 |
| Output price / 1M | $15.00 | $0.50 |
| Context window | 1M tokens | 1M tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | Yes | N/A |
| Provider | Anthropic | Z.ai |
Questions people ask
Is claude-sonnet-4-6 better than glm-5.3-flash?
glm-5.3-flash outperforms claude-sonnet-4-6 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-4-6 and glm-5.3-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-4-6 or glm-5.3-flash?
glm-5.3-flash is cheaper. claude-sonnet-4-6 costs $3.00/$15.00 per 1M input/output tokens, while glm-5.3-flash costs $0.15/$0.50.
Can I use claude-sonnet-4-6 and glm-5.3-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 "zai/glm-5.3-flash", no other code changes needed.
What are the context windows?
claude-sonnet-4-6 supports up to 1M tokens of context. glm-5.3-flash supports up to 1M 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 glm-5.3-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.