gpt-5.3-codex vs grok-4.6
Side-by-side comparison of gpt-5.3-codex and grok-4.6: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. grok-4.6 outperforms gpt-5.3-codex on 3 of 3 shared benchmarks.
gpt-5.3-codex
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai-responses/gpt-5.3-codex
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
gpt-5.3-codex36.9%
grok-4.650.6%
Coding Indexcoding
gpt-5.3-codexN/A
grok-4.676.8%
GPQA Diamondreasoning
gpt-5.3-codex91.5%
grok-4.694.9%
Terminal-Bench Hardagentic
gpt-5.3-codex53.0%
grok-4.6N/A
τ²-Benchagentic
gpt-5.3-codex86.0%
grok-4.6N/A
SciCodecoding
gpt-5.3-codexN/A
grok-4.656.5%
Humanity's Last Examreasoning
gpt-5.3-codex42.5%
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
| gpt-5.3-codex | grok-4.6 | |
|---|---|---|
| Input price / 1M | $1.75 | $2.00 |
| Output price / 1M | $14.00 | $6.00 |
| Context window | 400K tokens | 500K tokens |
| Max output | 128K 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 | OpenAI Responses | xAI Corp. |
Questions people ask
Is gpt-5.3-codex better than grok-4.6?
grok-4.6 outperforms gpt-5.3-codex on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: gpt-5.3-codex and grok-4.6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5.3-codex or grok-4.6?
grok-4.6 is cheaper. gpt-5.3-codex costs $1.75/$14.00 per 1M input/output tokens, while grok-4.6 costs $2.00/$6.00.
Can I use gpt-5.3-codex 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 "openai-responses/gpt-5.3-codex" and "xai/grok-4.6", no other code changes needed.
What are the context windows?
gpt-5.3-codex supports up to 400K 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 gpt-5.3-codex 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.