Model comparison
GPT-4o mini vs Inkling
Inkling is the stronger model overall, scoring 44.1 to 25.5 on the Noometry Index. GPT-4o mini costs 9.8× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Inkling in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 17.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.9% for GPT-4o mini and 88.9% for Inkling.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- GPT-4o mini accepts more context: 128K tokens versus 66K.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Inkling | |
|---|---|---|
| Provider | OpenAI | Thinking Machines Lab |
| Noometry Index | 25.5 | 44.1 |
| Released | 2024-07-18 | 2026-07-15 |
| Weights | Proprietary | Open |
| Context window | 128K | 66K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.15 | $1.87 |
| Output $ / M tokens | $0.60 | $4.68 |
| Results tracked | 60 | 41 |
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Category by category
Coding Inkling leads
GPT-4o mini: 22.0 (#335), Inkling: 34.5 (#234)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| WeirdML | 11.8% | 32.3% |
| LMArena Coding | 1290 | 1464 |
| FrontierCode | — | 14% |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1413 |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 946 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Inkling leads
GPT-4o mini: 27.5 (#101), Inkling: 29.6 (#85)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |
| BALROG | 17.4% | — |
Reasoning Inkling leads
GPT-4o mini: 8.7 (#347), Inkling: 40.4 (#56)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| ARC-AGI-2 | 0% | 36.5% |
| SimpleBench | 10.7% | 50% |
| Chess Puzzles | 0% | 21% |
| LMArena Hard Prompts | 1267 | 1451 |
| DTBench | 54.4% | 87.5% |
| LMCA | 10.4% | 37.6% |
| Epoch Capabilities Index | 126.56 | 148.54 |
| Kagi LLM Benchmark | 28.8% | — |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Inkling leads
GPT-4o mini: 10.4 (#314), Inkling: 31.3 (#225)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 33.3% |
| OTIS Mock AIME 2024-2025 | 6.9% | 88.9% |
| LMArena Math | 1267 | 1479 |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Inkling leads
GPT-4o mini: 17.7 (#284), Inkling: 55.1 (#49)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| GPQA Diamond | 37.7% | 88.3% |
| SimpleQA Verified | 8.3% | 40.3% |
| LMArena Expert | 1235 | 1465 |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Inkling: —
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual Inkling leads
GPT-4o mini: 42.0 (#199), Inkling: 54.0 (#52)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| LMArena Non-English | 1266 | 1434 |
| LMArena Chinese | 1265 | 1490 |
| LMArena French | 1297 | 1458 |
| LMArena German | 1272 | 1446 |
| LMArena Japanese | 1216 | 1429 |
| LMArena Korean | 1195 | 1404 |
| LMArena Russian | 1275 | 1429 |
| LMArena Spanish | 1276 | 1448 |
Instruction Following Inkling leads
GPT-4o mini: 61.9 (#239), Inkling: 75.1 (#71)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| LMArena Instruction Following | 1258 | 1426 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context Inkling leads
GPT-4o mini: 39.1 (#186), Inkling: 43.8 (#86)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| LMArena Longer Query | 1289 | 1434 |
Writing & Preference Inkling leads
GPT-4o mini: 39.5 (#248), Inkling: 65.2 (#51)
| Benchmark | GPT-4o mini | Inkling |
|---|---|---|
| LMArena Text | 1286 | 1441 |
| LMArena Creative Writing | 1268 | 1387 |
| EQ-Bench Creative Writing | 873 | 1611 |
| LMArena Multi-Turn | 1285 | 1436 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| EQ-Bench 4 | — | 1226 |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Inkling?
Inkling is the stronger model overall, scoring 44.1 to 25.5 on the Noometry Index. GPT-4o mini costs 9.8× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Which is cheaper, GPT-4o mini or Inkling?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Inkling lists at $1.87 and $4.68.
Is GPT-4o mini or Inkling better for coding?
Inkling scores higher on coding benchmarks: 34.5 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
GPT-4o mini does, with 128K tokens against 66K.
How many benchmarks do GPT-4o mini and Inkling share?
29 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Inkling has 41.