gpt-5.3-codex vs grok-4
Side-by-side comparison of gpt-5.3-codex and grok-4: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.3-codex outperforms grok-4 on 5 of 5 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
Input / 1M
$3.00
Output / 1M
$15.00
Context
256K
Model ID
xai/grok-4
Benchmark comparison
Intelligence Indexreasoning
gpt-5.3-codex36.9%
grok-426.5%
Math Indexmath
gpt-5.3-codexN/A
grok-492.7%
GPQA Diamondreasoning
gpt-5.3-codex91.5%
grok-487.7%
AIME 2025math
gpt-5.3-codexN/A
grok-492.7%
LiveCodeBenchcoding
gpt-5.3-codexN/A
grok-481.9%
Terminal-Bench Hardagentic
gpt-5.3-codex53.0%
grok-437.9%
τ²-Benchagentic
gpt-5.3-codex86.0%
grok-474.9%
MMLU Proknowledge
gpt-5.3-codexN/A
grok-486.6%
Humanity's Last Examreasoning
gpt-5.3-codex42.5%
grok-426.7%
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 | |
|---|---|---|
| Input price / 1M | $1.75 | $3.00 |
| Output price / 1M | $14.00 | $15.00 |
| Context window | 400K tokens | 256K tokens |
| Max output | 128K tokens | N/A |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | N/A |
| Prompt caching | Yes | Yes |
| Computer use | N/A | Yes |
| Provider | OpenAI Responses | xAI Corp. |
Questions people ask
Is gpt-5.3-codex better than grok-4?
gpt-5.3-codex outperforms grok-4 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: gpt-5.3-codex and grok-4 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5.3-codex or grok-4?
gpt-5.3-codex is cheaper. gpt-5.3-codex costs $1.75/$14.00 per 1M input/output tokens, while grok-4 costs $3.00/$15.00.
Can I use gpt-5.3-codex and grok-4 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", no other code changes needed.
What are the context windows?
gpt-5.3-codex supports up to 400K tokens of context. grok-4 supports up to 256K 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 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.