Model comparison
Grok 4.6 vs Step 3.7 Flash
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.3 on the Noometry Index. Step 3.7 Flash costs 7.2× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
StepFunSummary
- They share 4 benchmarks with published results for both. Grok 4.6 scores higher in 3 categories and Step 3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.6 leads 61.4 to 21.6.
- The biggest single-benchmark swing is NYT Connections (extended): 80% for Grok 4.6 and 39.7% for Step 3.7 Flash.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $2 / $6 for Grok 4.6.
- Grok 4.6 accepts more context: 500K tokens versus 256K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.
Side by side
| Grok 4.6 | Step 3.7 Flash | |
|---|---|---|
| Provider | xAI | StepFun |
| Noometry Index | 56.9 | 37.3 |
| Released | 2026-08-12 | 2026-05-29 |
| Weights | Proprietary | Open |
| Context window | 500K | 256K |
| Max output | 500K | 256K |
| Input $ / M tokens | $2 | $0.18 |
| Output $ / M tokens | $6 | $1.11 |
| Results tracked | 49 | 5 |
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Category by category
Coding Grok 4.6 leads
Grok 4.6: 58.5 (#16), Step 3.7 Flash: 40.0 (#150)
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| SciCode | 56.5% | 40% |
| ALE-Bench | 1,508 | 694.12 |
| DeepSWE | 67.5% | — |
| FrontierCode | 48% | — |
| CursorBench | 41.4% | — |
| LMArena WebDev | 1617 | — |
| FrontierSWE | 25.3% | — |
| WeirdML | 67.3% | — |
| LMArena Coding | 1465 | — |
Agentic & Tool Use Not comparable
Grok 4.6: 39.4 (#27), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| APEX-Agents | 65.3% | — |
| GDP.pdf | 17.2% | — |
| Vending-Bench 2 | 9,047 | — |
Reasoning Grok 4.6 leads
Grok 4.6: 61.4 (#20), Step 3.7 Flash: 21.6 (#219)
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | 80% | 39.7% |
| CritPt | 19.7% | 2.3% |
| ARC-AGI-2 | 67.1% | — |
| SimpleBench | 75.9% | — |
| ARC-AGI-1 | 87.5% | — |
| Chess Puzzles | 40% | — |
| EBR-Bench | 30.5% | — |
| LMArena Hard Prompts | 1447 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.3% | — |
| LMCA | 48.5% | — |
| Epoch Capabilities Index | 156.44 | — |
Math Grok 4.6 leads
Grok 4.6: 67.0 (#24), Step 3.7 Flash: 42.9 (#82)
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 51% | — |
| LMArena Math | 1423 | — |
Knowledge Not comparable
Grok 4.6: 63.3 (#20), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 94% | — |
| SimpleQA Verified | 49.3% | — |
| LMArena Expert | 1467 | — |
Multimodal Not comparable
Grok 4.6: 43.6 (#23), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 33.2% | — |
| Furniture Assembly | 40% | — |
| LMArena Document | 1452 | — |
Multilingual Not comparable
Grok 4.6: 53.0 (#74), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1480 | — |
| LMArena French | 1461 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1376 | — |
| LMArena Korean | 1397 | — |
| LMArena Russian | 1422 | — |
| LMArena Spanish | 1404 | — |
Instruction Following Not comparable
Grok 4.6: 75.4 (#63), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1431 | — |
Long Context Not comparable
Grok 4.6: 44.5 (#66), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1454 | — |
Writing & Preference Not comparable
Grok 4.6: 62.3 (#80), Step 3.7 Flash: —
| Benchmark | Grok 4.6 | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1428 | — |
| LMArena Multi-Turn | 1425 | — |
Frequently asked questions
Is Grok 4.6 better than Step 3.7 Flash?
Grok 4.6 is the stronger model overall, scoring 56.9 to 37.3 on the Noometry Index. Step 3.7 Flash costs 7.2× less per token, which makes it the better buy when Grok 4.6's lead doesn't matter for your workload.
Which is cheaper, Grok 4.6 or Step 3.7 Flash?
Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; Grok 4.6 lists at $2 and $6.
Is Grok 4.6 or Step 3.7 Flash better for coding?
Grok 4.6 scores higher on coding benchmarks: 58.5 versus 40.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.6 does, with 500K tokens against 256K.
How many benchmarks do Grok 4.6 and Step 3.7 Flash share?
4 benchmarks have published results for both models. Grok 4.6 has 49 scored results on Noometry and Step 3.7 Flash has 5.