GPT-5.3 Codex vs Grok 4.6
At a Glance
| Compare |  GPT-5.3 CodexOpenAI | Grok 4.6xAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.75Openai ↗ · Sep 3, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $14.00Openai ↗ · Sep 3, 2026 | $6.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 400K | 500K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | GPT-5.3-Codex | Grok 4.6 |
|---|---|---|
| Developer | OpenAI | xAI |
| Family | Gpt 5 3 | Grok 4 |
| Model | GPT-5.3-Codex | Grok 4.6 |
| Version | GPT-5.3-Codex | Grok 4.6 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2025-08-31 | 2026-02-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 400K | 500K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
GPT-5.3 Codex Capabilities
Grok 4.6 Capabilities
Related Comparisons
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|---|---|---|---|
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GPT-5.3-CodexOpenAI | vs | cross-developer peersimage, text | |
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GPT-5 NanoOpenAI | vs | GPT-5.3-CodexOpenAI | family variantsimage, text |
GPT-5.3-CodexOpenAI | vs | GPT-5.4OpenAI | family variantsimage, text |
GPT-5.3-CodexOpenAI | vs | GPT-5.4 NanoOpenAI | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.3 Codex vs Grok 4.6 FAQs
Is GPT-5.3 Codex or Grok 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.3 Codex and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.3 Codex or Grok 4.6?+
GPT-5.3 Codex is $1.75 and Grok 4.6 is $2.00 per million tokens, so GPT-5.3 Codex is cheaper on this metric. GPT-5.3 Codex is $14.00 and Grok 4.6 is $6.00 per million tokens, so Grok 4.6 is cheaper on this metric.
Which has a larger context window, GPT-5.3 Codex or Grok 4.6?+
Grok 4.6 has the larger sourced context window. GPT-5.3 Codex supports 400,000 tokens and Grok 4.6 supports 500,000 tokens.
Which performs better in benchmarks, GPT-5.3 Codex or Grok 4.6?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.3 Codex or Grok 4.6 be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. GPT-5.3 Codex is not marked open weight; Grok 4.6 is not marked open weight.
Can GPT-5.3 Codex and Grok 4.6 understand images?+
GPT-5.3 Codex is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.3 Codex or Grok 4.6?+
GPT-5.3 Codex has a sourced maximum output of 128,000 tokens; Grok 4.6's maximum output is not reported. A larger limit cannot be determined.
Do GPT-5.3 Codex and Grok 4.6 support reasoning and tool use?+
GPT-5.3 Codex: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.3 Codex or Grok 4.6?+
GPT-5.3 Codex has 2 sourced provider routes; Grok 4.6 has 1, so GPT-5.3 Codex has broader tracked availability.
Which offers better value, GPT-5.3 Codex or Grok 4.6?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.