Model comparison
Inkling vs MiniMax-M2.7
Inkling is the stronger model overall, scoring 44.1 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 4.9× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
MiniMaxSummary
- They share 24 benchmarks with published results for both. Inkling scores higher in 8 categories and MiniMax-M2.7 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Inkling leads 40.4 to 19.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- MiniMax-M2.7 accepts more context: 205K tokens versus 66K.
Side by side
| Inkling | MiniMax-M2.7 | |
|---|---|---|
| Provider | Thinking Machines Lab | MiniMax |
| Noometry Index | 44.1 | 37.7 |
| Released | 2026-07-15 | 2026-03-18 |
| Weights | Open | Open |
| Context window | 66K | 205K |
| Max output | 66K | 131K |
| Input $ / M tokens | $1.87 | $0.30 |
| Output $ / M tokens | $4.68 | $1.20 |
| Results tracked | 41 | 30 |
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Category by category
Coding MiniMax-M2.7 leads
Inkling: 34.5 (#234), MiniMax-M2.7: 41.8 (#120)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1413 | 1398 |
| SciCode | 47% | 47% |
| WeirdML | 32.3% | 37% |
| LMArena Coding | 1464 | 1454 |
| ALE-Bench | 946 | 599.25 |
| FrontierCode | 14% | — |
| FrontierSWE | 4.1% | — |
Agentic & Tool Use Inkling leads
Inkling: 29.6 (#85), MiniMax-M2.7: 25.1 (#111)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning Inkling leads
Inkling: 40.4 (#56), MiniMax-M2.7: 19.7 (#253)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| CritPt | 5.4% | 0.6% |
| LMArena Hard Prompts | 1451 | 1422 |
| Epoch Capabilities Index | 148.54 | 145.85 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| NYT Connections (extended) | — | 24.7% |
| ARC-AGI-1 | 79.5% | — |
| Chess Puzzles | 21% | — |
| Thematic Generalization | — | 39.3% |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
Math Inkling leads
Inkling: 31.3 (#225), MiniMax-M2.7: 25.9 (#263)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| ProofBench | 0% | 3% |
| LMArena Math | 1479 | 1420 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
Knowledge Inkling leads
Inkling: 55.1 (#49), MiniMax-M2.7: 37.7 (#152)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1465 | 1444 |
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| Vectara Hallucination Rate | — | 12.9% |
Multilingual Inkling leads
Inkling: 54.0 (#52), MiniMax-M2.7: 50.3 (#123)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1434 | 1382 |
| LMArena Chinese | 1490 | 1441 |
| LMArena French | 1458 | 1421 |
| LMArena German | 1446 | 1398 |
| LMArena Japanese | 1429 | 1262 |
| LMArena Korean | 1404 | 1313 |
| LMArena Russian | 1429 | 1383 |
| LMArena Spanish | 1448 | 1403 |
Instruction Following Inkling leads
Inkling: 75.1 (#71), MiniMax-M2.7: 74.1 (#103)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1426 | 1405 |
Long Context Too close to call
Inkling: 43.8 (#86), MiniMax-M2.7: 43.3 (#99)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1434 | 1419 |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), MiniMax-M2.7: 58.9 (#112)
| Benchmark | Inkling | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1441 | 1405 |
| LMArena Creative Writing | 1387 | 1354 |
| LMArena Multi-Turn | 1436 | 1412 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
Frequently asked questions
Is Inkling better than MiniMax-M2.7?
Inkling is the stronger model overall, scoring 44.1 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 4.9× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Which is cheaper, Inkling or MiniMax-M2.7?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Inkling lists at $1.87 and $4.68.
Is Inkling or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 66K.
How many benchmarks do Inkling and MiniMax-M2.7 share?
24 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and MiniMax-M2.7 has 30.