gemini-3.8-flash vs grok-4.6
Side-by-side comparison of gemini-3.8-flash and grok-4.6: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.8-flash outperforms grok-4.6 on 3 of 5 shared benchmarks.
gemini-3.8-flash
Input / 1M
$1.50$0.75
Output / 1M
$7.50$3.75
Context
1.0M
Model ID
vertex/gemini-3.8-flash
xAI Corp.
grok-4.6
Input / 1M
$2.00
Output / 1M
$6.00
Context
500K
Model ID
xai/grok-4.6
Benchmark comparison
Intelligence Indexreasoning
gemini-3.8-flash47.1%
grok-4.650.6%
Coding Indexcoding
gemini-3.8-flash76.3%
grok-4.676.8%
GPQA Diamondreasoning
gemini-3.8-flash95.3%
grok-4.694.9%
SciCodecoding
gemini-3.8-flash56.6%
grok-4.656.5%
Humanity's Last Examreasoning
gemini-3.8-flash47.8%
grok-4.642.9%
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
| gemini-3.8-flash | grok-4.6 | |
|---|---|---|
| Input price / 1M | $1.50$0.75 | $2.00 |
| Output price / 1M | $7.50$3.75 | $6.00 |
| Context window | 1.0M tokens | 500K tokens |
| Max output | 66K tokens | N/A |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google LLC (Vertex AI) | xAI Corp. |
Questions people ask
Is gemini-3.8-flash better than grok-4.6?
gemini-3.8-flash outperforms grok-4.6 on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: gemini-3.8-flash and grok-4.6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-3.8-flash or grok-4.6?
gemini-3.8-flash is cheaper. gemini-3.8-flash costs $0.75/$3.75 per 1M input/output tokens, while grok-4.6 costs $2.00/$6.00. 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 gemini-3.8-flash and grok-4.6 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "vertex/gemini-3.8-flash" and "xai/grok-4.6", no other code changes needed.
What are the context windows?
gemini-3.8-flash supports up to 1.0M tokens of context. grok-4.6 supports up to 500K 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 gemini-3.8-flash and grok-4.6 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.