Model comparison
GPT-5.3 Chat vs Grok 4.7
Grok 4.7 is the stronger model overall, scoring 53.1 to 42.8 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Grok 4.7 in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 38.8.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Grok 4.7 accepts more context: 500K tokens versus 128K.
Side by side
| GPT-5.3 Chat | Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 42.8 | 53.1 |
| Released | 2026-03-03 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 500K |
| Max output | 16K | 500K |
| Input $ / M tokens | $1.75 | $2 |
| Output $ / M tokens | $14 | $6 |
| Results tracked | 18 | 39 |
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Category by category
Coding Grok 4.7 leads
GPT-5.3 Chat: 41.4 (#124), Grok 4.7: 58.0 (#18)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Coding | 1408 | 1427 |
| FrontierCode | — | 47.6% |
| CursorBench | — | 46.3% |
| LMArena WebDev | — | 1639 |
| FrontierSWE | — | 29.5% |
| SciCode | — | 57.8% |
Agentic & Tool Use Not comparable
GPT-5.3 Chat: —, Grok 4.7: 36.7 (#37)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| APEX-Agents | — | 54.6% |
| GDP.pdf | — | 22.8% |
| Vending-Bench 2 | — | 10,537 |
Reasoning Grok 4.7 leads
GPT-5.3 Chat: 28.5 (#102), Grok 4.7: 49.1 (#40)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1413 |
| NYT Connections (extended) | — | 76.8% |
| CritPt | — | 18% |
| Chess Puzzles | — | 38% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 96% |
| LMCA | — | 49.4% |
| Epoch Capabilities Index | — | 153.53 |
Math Grok 4.7 leads
GPT-5.3 Chat: 38.2 (#142), Grok 4.7: 57.8 (#39)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Math | 1389 | 1407 |
| FrontierMath (Tiers 1-3) | — | 53% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 98.1% |
| ProofBench | — | 34% |
Knowledge Grok 4.7 leads
GPT-5.3 Chat: 38.8 (#140), Grok 4.7: 62.8 (#22)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Expert | 1397 | 1422 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 56% |
Multimodal Not comparable
GPT-5.3 Chat: —, Grok 4.7: 35.5 (#87)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Vision | — | 1228 |
| Blueprint-Bench 2 | — | 32.5% |
| Furniture Assembly | — | 20.8% |
Multilingual Too close to call
GPT-5.3 Chat: 50.3 (#124), Grok 4.7: 50.8 (#116)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1382 | 1389 |
| LMArena Chinese | 1432 | 1455 |
| LMArena French | 1397 | 1455 |
| LMArena Russian | 1400 | 1397 |
| LMArena Spanish | 1371 | 1400 |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
Instruction Following Grok 4.7 leads
GPT-5.3 Chat: 72.8 (#129), Grok 4.7: 74.1 (#105)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1404 |
Long Context Too close to call
GPT-5.3 Chat: 42.6 (#120), Grok 4.7: 43.1 (#104)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1396 | 1413 |
Writing & Preference Grok 4.7 leads
GPT-5.3 Chat: 63.1 (#68), Grok 4.7: 70.0 (#24)
| Benchmark | GPT-5.3 Chat | Grok 4.7 |
|---|---|---|
| LMArena Text | 1389 | 1399 |
| LMArena Creative Writing | 1355 | 1391 |
| EQ-Bench Creative Writing | 1690 | 2007 |
| LMArena Multi-Turn | 1412 | 1393 |
Frequently asked questions
Is GPT-5.3 Chat better than Grok 4.7?
Grok 4.7 is the stronger model overall, scoring 53.1 to 42.8 on the Noometry Index.
Which is cheaper, GPT-5.3 Chat or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 128K.
How many benchmarks do GPT-5.3 Chat and Grok 4.7 share?
15 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Grok 4.7 has 39.