Model comparison
GPT-5-Codex vs Grok 4.7
Grok 4.7 is the stronger model overall, scoring 46.6 to 37.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where Grok 4.7 leads 55.0 to 41.9.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- Grok 4.7 accepts more context: 500K tokens versus 400K.
Side by side
| GPT-5-Codex | Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 37.3 | 46.6 |
| Released | 2025-09-15 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 500K |
| Max output | 128K | 500K |
| Input $ / M tokens | $1.25 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 3 | 21 |
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Category by category
Coding Grok 4.7 leads
GPT-5-Codex: 41.9 (#100), Grok 4.7: 55.0 (#23)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| CursorBench | — | 46.3% |
| LMArena WebDev | — | 1636 |
| FrontierSWE | — | 29.5% |
| SciCode | — | 57.4% |
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1423 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 30.8 (#66), Grok 4.7: —
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning Grok 4.7 leads
GPT-5-Codex: 30.0 (#80), Grok 4.7: 40.1 (#49)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 76.8% |
| CritPt | — | 17.7% |
| LMArena Hard Prompts | — | 1409 |
Math Not comparable
GPT-5-Codex: —, Grok 4.7: 41.1 (#73)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| ProofBench | — | 34% |
| LMArena Math | — | 1393 |
Knowledge Not comparable
GPT-5-Codex: —, Grok 4.7: 38.7 (#130)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| LMArena Expert | — | 1413 |
Multimodal Not comparable
GPT-5-Codex: —, Grok 4.7: 28.8 (#107)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| Furniture Assembly | — | 20.8% |
Multilingual Not comparable
GPT-5-Codex: —, Grok 4.7: 51.2 (#108)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| LMArena Non-English | — | 1392 |
| LMArena Chinese | — | 1476 |
| LMArena Russian | — | 1396 |
Instruction Following Not comparable
GPT-5-Codex: —, Grok 4.7: 74.3 (#98)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | — | 1406 |
Long Context Not comparable
GPT-5-Codex: —, Grok 4.7: 43.2 (#97)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | — | 1416 |
Writing & Preference Not comparable
GPT-5-Codex: —, Grok 4.7: 70.1 (#23)
| Benchmark | GPT-5-Codex | Grok 4.7 |
|---|---|---|
| LMArena Text | — | 1397 |
| LMArena Creative Writing | — | 1391 |
| EQ-Bench Creative Writing | — | 2007 |
| LMArena Multi-Turn | — | 1389 |
Frequently asked questions
Is GPT-5-Codex better than Grok 4.7?
Grok 4.7 is the stronger model overall, scoring 46.6 to 37.3 on the Noometry Index.
Which is cheaper, GPT-5-Codex or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 55.0 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 400K.
How many benchmarks do GPT-5-Codex and Grok 4.7 share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Grok 4.7 has 21.