Model comparison
GPT-5.3 Codex vs Inkling-Small
GPT-5.3 Codex and Inkling-Small score almost the same on the Noometry Index (45.8 vs 46.5), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Inkling-Small in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 43.6.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- Inkling-Small accepts more context: 524K tokens versus 400K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Inkling-Small | |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 45.8 | 46.5 |
| Released | 2026-02-05 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 400K | 524K |
| Max output | 128K | 1.05M |
| Input $ / M tokens | $1.75 | $0.45 |
| Output $ / M tokens | $14 | $1.20 |
| Results tracked | 8 | 33 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), Inkling-Small: 43.6 (#85)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena WebDev | 1409 | 1409 |
| SWE-bench Verified | 74.8% | — |
| SciCode | — | 48.7% |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1451 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), Inkling-Small: —
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Inkling-Small: 38.6 (#63)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 150.15 |
| ARC-AGI-2 | — | 40.1% |
| ARC-AGI-1 | — | 84% |
| CritPt | — | 8.3% |
| Chess Puzzles | — | 18% |
| LMArena Hard Prompts | — | 1423 |
| Mystery Game Puzzles | — | 6% |
Math Not comparable
GPT-5.3 Codex: —, Inkling-Small: 45.1 (#77)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 46.3% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 90% |
| ProofBench | — | 6% |
| LMArena Math | — | 1459 |
Knowledge Not comparable
GPT-5.3 Codex: —, Inkling-Small: 48.2 (#77)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| GPQA Diamond | — | 88.5% |
| SimpleQA Verified | — | 19.1% |
| LMArena Expert | — | 1442 |
Multimodal Not comparable
GPT-5.3 Codex: —, Inkling-Small: 39.1 (#62)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena Vision | — | 1235 |
Multilingual Not comparable
GPT-5.3 Codex: —, Inkling-Small: 51.7 (#104)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena Non-English | — | 1402 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1436 |
| LMArena German | — | 1405 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1363 |
| LMArena Russian | — | 1391 |
| LMArena Spanish | — | 1428 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Inkling-Small: 73.8 (#114)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
GPT-5.3 Codex: —, Inkling-Small: 42.7 (#118)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena Longer Query | — | 1401 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Inkling-Small: 59.6 (#107)
| Benchmark | GPT-5.3 Codex | Inkling-Small |
|---|---|---|
| LMArena Text | — | 1414 |
| LMArena Creative Writing | — | 1331 |
| EQ-Bench Creative Writing | — | 1491 |
| LMArena Multi-Turn | — | 1418 |
Frequently asked questions
Is GPT-5.3 Codex better than Inkling-Small?
GPT-5.3 Codex and Inkling-Small score almost the same on the Noometry Index (45.8 vs 46.5), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.3 Codex or Inkling-Small?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or Inkling-Small better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
Inkling-Small does, with 524K tokens against 400K.
How many benchmarks do GPT-5.3 Codex and Inkling-Small share?
2 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Inkling-Small has 33.