Model comparison
DBRX Instruct vs Llama 4 Scout
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DBRX Instruct unranked (Not scored); Llama 4 Scout #183 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DBRX Instruct and Llama 4 Scout share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DBRX Instruct; 18 to Llama 4 Scout.
Updated July 24, 2026- Shared results
- 0
- DBRX Instruct only
- 0
- Llama 4 Scout only
- 18
- Comparable categories
- 0 / 8
Benchmark data for DBRX Instruct and Llama 4 Scout 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 DBRX Instruct yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Llama 4 Scout has the larger context window at 10M, compared with 32K for DBRX Instruct.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DBRX Instruct | Llama 4 Scout | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DBRX Instruct$0 input / $0 output | Llama 4 Scout$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DBRX InstructNot available | Llama 4 Scout128 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DBRX InstructNot available | Llama 4 Scout0.70 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DBRX Instruct32K | Llama 4 Scout10M | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DBRX Instruct | Llama 4 Scout | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 10.0% | Not comparable |
| AA-GPQA DiamondSource | — | 58.7% | Not comparable |
| AA-HLESource | — | 4.3% | Not comparable |
| AA-Omniscience IndexSource | — | -52.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 14.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 78.3% | Not comparable |
Math1 benchmarks
| Benchmark | DBRX Instruct | Llama 4 Scout | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 0.000% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DBRX Instruct | Llama 4 Scout | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 39.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare DBRX Instruct and Llama 4 Scout 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 DBRX Instruct and Llama 4 Scout today?
DBRX Instruct: $0.00 input / $0.00 output per 1M tokens Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.