Model comparison
GPT-4 Turbo vs Inkling
Inkling is the stronger model overall, scoring 44.1 to 30.5 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Inkling in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 24.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for GPT-4 Turbo and 88.9% for Inkling.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- GPT-4 Turbo accepts more context: 128K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| GPT-4 Turbo | Inkling | |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 30.5 | 44.1 |
| Released | 2023-11-06 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 128K | 66K |
| Max output | 4K | 66K |
| Input $ / M tokens | $10 | $1.87 |
| Output $ / M tokens | $30 | $4.68 |
| Results tracked | 36 | 41 |
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Category by category
Coding Too close to call
GPT-4 Turbo: 33.8 (#249), Inkling: 34.5 (#234)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| WeirdML | 18% | 32.3% |
| LMArena Coding | 1268 | 1464 |
| FrontierCode | — | 14% |
| LMArena WebDev | — | 1413 |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| ALE-Bench | — | 946 |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Inkling: 29.6 (#85)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
| METR Time Horizons | 36.7% | — |
Reasoning Inkling leads
GPT-4 Turbo: 15.3 (#317), Inkling: 40.4 (#56)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| SimpleBench | 25.1% | 50% |
| Chess Puzzles | 6% | 21% |
| LMArena Hard Prompts | 1251 | 1451 |
| DTBench | 61.6% | 87.5% |
| LMCA | 9.8% | 37.6% |
| Epoch Capabilities Index | 127.25 | 148.54 |
| ARC-AGI-2 | — | 36.5% |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| ForecastBench | 59.4 | — |
Math Inkling leads
GPT-4 Turbo: 9.0 (#322), Inkling: 31.3 (#225)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 33.3% |
| OTIS Mock AIME 2024-2025 | 6.7% | 88.9% |
| LMArena Math | 1272 | 1479 |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| MATH Level 5 | 46.7% | — |
Knowledge Inkling leads
GPT-4 Turbo: 24.3 (#268), Inkling: 55.1 (#49)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| GPQA Diamond | 46.6% | 88.3% |
| LMArena Expert | 1223 | 1465 |
| SimpleQA Verified | — | 40.3% |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Inkling: —
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Inkling leads
GPT-4 Turbo: 40.5 (#216), Inkling: 54.0 (#52)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| LMArena Non-English | 1245 | 1434 |
| LMArena Chinese | 1242 | 1490 |
| LMArena French | 1276 | 1458 |
| LMArena German | 1259 | 1446 |
| LMArena Japanese | 1194 | 1429 |
| LMArena Korean | 1187 | 1404 |
| LMArena Russian | 1259 | 1429 |
| LMArena Spanish | 1260 | 1448 |
Instruction Following Inkling leads
GPT-4 Turbo: 65.8 (#216), Inkling: 75.1 (#71)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| LMArena Instruction Following | 1249 | 1426 |
Long Context Inkling leads
GPT-4 Turbo: 38.0 (#206), Inkling: 43.8 (#86)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| LMArena Longer Query | 1254 | 1434 |
Writing & Preference Inkling leads
GPT-4 Turbo: 47.7 (#206), Inkling: 65.2 (#51)
| Benchmark | GPT-4 Turbo | Inkling |
|---|---|---|
| LMArena Text | 1272 | 1441 |
| LMArena Creative Writing | 1269 | 1387 |
| LMArena Multi-Turn | 1267 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| EQ-Bench 4 | — | 1226 |
Frequently asked questions
Is GPT-4 Turbo better than Inkling?
Inkling is the stronger model overall, scoring 44.1 to 30.5 on the Noometry Index.
Which is cheaper, GPT-4 Turbo or Inkling?
Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is GPT-4 Turbo or Inkling better for coding?
They score almost the same on coding (33.8 vs 34.5); test both on your own repository before choosing.
Which has the bigger context window?
GPT-4 Turbo does, with 128K tokens against 66K.
How many benchmarks do GPT-4 Turbo and Inkling share?
26 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Inkling has 41.