Model comparison
GPT-5.3 Codex vs Granite 4.2 8B
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 40.0 on the Noometry Index. Granite 4.2 8B costs 45× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 39.9.
- Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 131K.
- Granite 4.2 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Granite 4.2 8B | |
|---|---|---|
| Provider | OpenAI | IBM |
| Noometry Index | 45.5 | 40.0 |
| Released | 2026-02-05 | — |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 118K |
| Input $ / M tokens | $1.75 | $0.06 |
| Output $ / M tokens | $14 | $0.25 |
| Results tracked | 8 | 11 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.5 (#51), Granite 4.2 8B: 39.9 (#138)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1379 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 47.8 (#9), Granite 4.2 8B: —
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 25.5 (#130)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Hard Prompts | — | 1327 |
| Epoch Capabilities Index | 156.84 | — |
Knowledge Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 37.7 (#144)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Expert | — | 1380 |
Multilingual Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 44.5 (#173)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Non-English | — | 1299 |
| LMArena Chinese | — | 1361 |
| LMArena Russian | — | 1283 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 68.7 (#183)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Instruction Following | — | 1298 |
Long Context Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 40.2 (#154)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Longer Query | — | 1323 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Granite 4.2 8B: 49.8 (#183)
| Benchmark | GPT-5.3 Codex | Granite 4.2 8B |
|---|---|---|
| LMArena Text | — | 1319 |
| LMArena Creative Writing | — | 1238 |
| LMArena Multi-Turn | — | 1299 |
Frequently asked questions
Is GPT-5.3 Codex better than Granite 4.2 8B?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 40.0 on the Noometry Index. Granite 4.2 8B costs 45× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Codex or Granite 4.2 8B?
Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or Granite 4.2 8B better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5.3 Codex and Granite 4.2 8B share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Granite 4.2 8B has 11.