Model comparison
Grok 4.5 vs Kanana Flag
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Grok 4.5 supported; Kanana Flag not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.5 and Kanana Flag share 0 comparable benchmark results. 0 of 8 categories are comparable. 27 results are unique to Grok 4.5; 0 to Kanana Flag.
Updated July 16, 2026- Shared results
- 0
- Grok 4.5 only
- 27
- Kanana Flag only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.5 and Kanana Flag is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Kanana Flag yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Grok 4.5 has the larger context window at 500K, compared with 64K for Kanana Flag.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.5 | Kanana Flag | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.5$2 input / $6 output | Kanana FlagNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Grok 4.5Not available | Kanana FlagNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.5Not available | Kanana FlagNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.5500K | Kanana Flag64K | Grok 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Grok 4.5 | Kanana Flag | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 83.3% | — | Not comparable |
| deepSweSource | 53% | — | Not comparable |
| AA Agentic IndexSource | 45.7% | — | Not comparable |
| GDPval-AASource | 51.9% | — | Not comparable |
| GDPval-AASource | 1539 | — | Not comparable |
| AA BriefcaseSource | 1324 | — | Not comparable |
| AA AutomationBenchSource | 51.4% | — | Not comparable |
| AA EnterpriseOps-GymSource | 40.8% | — | Not comparable |
| AA Harvey LABSource | 13.3% | — | Not comparable |
| AA Tau3 BankingSource | 32.6% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Grok 4.5 | Kanana Flag | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.7% | — | Not comparable |
| SWE MultilingualSource | 78% | — | Not comparable |
| Terminal-Bench 2.0Source | 83.3% | — | Not comparable |
| cursorBench32Source | 66.7% | — | Not comparable |
| AA Coding IndexSource | 72.5% | — | Not comparable |
| AA-SciCodeSource | 54.1% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 81.6% | — | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Grok 4.5 | Kanana Flag | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 53.8% | — | Not comparable |
| AA-GPQA DiamondSource | 93.1% | — | Not comparable |
| AA-HLESource | 40.3% | — | Not comparable |
| AA-Omniscience IndexSource | 26.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 52.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 53.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok 4.5 and Kanana Flag on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Grok 4.5 and Kanana Flag today?
Grok 4.5: $2.00 input / $6.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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