Grok 4.6
Best configuration ranks #42 of 610 on the BenchLeader Index at 63.8 ±6.5 (medium reasoning effort). Last measured 12 Aug 2026. Released 12 Aug 2026.
- Blended price
- $3.00/M
- $2.00 in · $6.00 out
- Output speed
- 55 tok/s
- First answer
- 37 s
- first token 1.31 s
- Context
- 500k
- Overall index64
- Reasoning62
- Coding64
- Knowledge77
- Long context67
- Composite83
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| low | 59.6 | #99 | 57 tok/s | 7.71 s | $0.0026 | Coding 55 · Composite 74 · Knowledge 76 · Long context 67 · Reasoning 50 |
| mediumbest | 63.8 | #42 | 55 tok/s | 37 s | $0.0026 | Coding 64 · Composite 83 · Knowledge 77 · Long context 67 · Reasoning 62 |
| high | 58.7 | #118 | 55 tok/s | 41 s | $0.0029 | Agents & tools 45 · Coding 66 · Knowledge 60 · Maths 67 · Reasoning 65 |
| xhigh | 62.3 | #56 | 55 tok/s | 48 s | $0.0026 | Agents & tools 55 · Coding 60 · Composite 85 · Knowledge 68 · Long context 67 · Maths 61 · Reasoning 61 |
| default | 63.6 | #44 | 55 tok/s | 41 s | $0.0026 | Agents & tools 69 · Coding 65 · Composite 73 · Knowledge 79 · Long context 67 · Maths 59 · Reasoning 71 |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| GPQA Diamond | – | – | 94.0%#8 | 93.2%#16 | – | Epoch AI Benchmarking Hub | |
| SimpleBench | – | – | – | – | 75.9%#8 | SimpleBench | |
| LiveBench Reasoningnot in index | – | – | – | – | 90.5%#7 | LiveBench | |
| GPQA Diamond (AA)not in index | 87.9%#92 | 93.5%#14 | – | 93.5%#14 | 95.0%#4 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 27.6%#126 | 42.1%#44 | – | 44.1%#30 | 42.9%#34 | Artificial Analysis | |
| GPQA Diamond (Vals)not in index | – | – | 94.7%#3 | – | – | Vals AI | |
| ARC-AGI-1 | 74.8%#93 | 87.5%#59 | 87.0%#63 | 87.0%#63 | – | ARC Prize | |
| ARC-AGI-2 | 27.6%#91 | 61.3%#54 | 65.1%#47 | 67.1%#43 | – | ARC Prize | |
| ARC-AGI-3 | – | – | – | 2.1%#17 | – | ARC Prize |
Coding
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| SciCode | 48.4%#71 | 54.6%#28 | 53.6%#37 | 51.6%#49 | – | SciCode | |
| WeirdML | – | – | 67.3%#34 | – | – | WeirdML | |
| FrontierCode | – | – | – | – | 48.0%#5 | Cognition | |
| LMArena WebDev | – | – | 1624#11 | – | – | LMArena | |
| LiveBench Codingnot in index | – | – | – | – | 76.8%#31 | LiveBench | |
| SciCode (AA)not in index | 49.4%#75 | 55.9%#26 | – | 53.0%#50 | 56.5%#20 | Artificial Analysis | |
| LiveCodeBench | – | – | 88.2%#7 | – | – | Vals AI | |
| SWE-bench (Vals)not in index | – | – | 95.6%#4 | – | – | Vals AI |
Agents & tools
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| Terminal-Bench | – | – | 20.3%#55 | – | – | Terminal-Bench | |
| APEX-Agents | – | – | – | – | 41.2%#8 | Mercor | |
| LMArena Agent | – | – | – | 3.2#16 | – | LMArena | |
| LiveBench Agentic Codingnot in index | – | – | – | – | 57.0%#18 | LiveBench | |
| Terminal-Bench 2.1 (Vals) | – | – | 78.3%#10 | – | – | Vals AI |
Maths
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| FrontierMath Tiers 1–3 | – | – | – | 66.0%#21 | – | Epoch AI Benchmarking Hub | |
| FrontierMath Tier 4 | – | – | – | 31.7%#25 | – | Epoch AI Benchmarking Hub | |
| OTIS Mock AIME | – | – | 97.8%#17 | 99.2%#10 | – | Epoch AI Benchmarking Hub | |
| ProofBench | – | – | – | – | 51.0%#16 | Vals AI | |
| LiveBench Mathematicsnot in index | – | – | – | – | 92.6%#16 | LiveBench |
Knowledge
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| SimpleQA Verified | – | – | 49.3%#23 | 48.9%#24 | – | Epoch AI Benchmarking Hub | |
| LiveBench Data Analysisnot in index | – | – | – | – | 73.9%#30 | LiveBench | |
| AA-Omniscience | 25.9#29 | 28#24 | – | 29.3#19 | 30.5#17 | Artificial Analysis | |
| MMLU-Pro | – | – | 89.4%#11 | – | – | Vals AI | |
| LegalBench | – | – | 86.3%#12 | – | – | Vals AI | |
| CorpFin | – | – | 66.2%#20 | – | – | Vals AI | |
| TaxEval | – | – | 71.1%#82 | – | – | Vals AI |
Instruction following
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| LiveBench Languagenot in index | – | – | – | – | 83.7%#13 | LiveBench |
Long context
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| AA-LCR | 80.7%#41 | 81.0%#37 | – | 81.0%#37 | 80.3%#45 | Artificial Analysis |
Composite
| Benchmark | low | medium | high | xhigh | default | Source | Trend |
|---|---|---|---|---|---|---|---|
| Epoch Capabilities Indexnot in index | – | – | – | – | 156.3#16 | Epoch AI Benchmarking Hub | |
| LiveBench | – | – | – | – | 78.0%#11 | LiveBench | |
| AA Intelligence Index | 35.4#51 | 43.0#25 | – | 44.3#22 | 44.4#21 | Artificial Analysis | |
| Vals Indexnot in index | – | – | 59.2#14 | – | – | Vals AI |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| SpaceXAI (ZDR) | 52 tok/s | 1.36 s | $2.00 | $6.00 | 500k | – |
| SpaceXAI | 52 tok/s | 0.96 s | $2.00 | $6.00 | 500k | – |
| SpaceXAI Priority (ZDR) | 52 tok/s | 1.31 s | $4.00 | $12.00 | 500k | – |
| SpaceXAI Priority | 50 tok/s | 1.19 s | $4.00 | $12.00 | 500k | – |
| Amazon Bedrock (US) | 17 tok/s | 24 s | $2.20 | $6.60 | 500k | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.550 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0026 | $0.0022 | 42.2 s |
| Summarise a 30-page report | 12,000 / 600 | $0.028 | $0.015 | 47.6 s |
| Code edit | 6,000 / 1,500 | $0.021 | $0.015 | 1.1 min |
| Agentic coding session | 60,000 / 4,000 | $0.144 | $0.079 | 1.8 min |
| Structured extraction | 2,000 / 200 | $0.0052 | $0.0030 | 40.3 s |
See also
Data as of 9 Sept 2026. Compare these configurations.