Model comparison
DBRX Instruct vs Kimi K2.5 (Reasoning)
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); Kimi K2.5 (Reasoning) #63 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DBRX Instruct and Kimi K2.5 (Reasoning) share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DBRX Instruct; 27 to Kimi K2.5 (Reasoning).
Updated July 24, 2026- Shared results
- 0
- DBRX Instruct only
- 0
- Kimi K2.5 (Reasoning) only
- 27
- Comparable categories
- 0 / 8
Benchmark data for DBRX Instruct and Kimi K2.5 (Reasoning) 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.
Kimi K2.5 (Reasoning) is priced at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DBRX Instruct. Kimi K2.5 (Reasoning) has the larger context window at 128K, 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 | Kimi K2.5 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DBRX Instruct$0 input / $0 output | Kimi K2.5 (Reasoning)$0.6 input / $3 output | DBRX Instruct has the lower combined listed price. |
| Generation speedtokens per second | DBRX InstructNot available | Kimi K2.5 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DBRX InstructNot available | Kimi K2.5 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DBRX Instruct32K | Kimi K2.5 (Reasoning)128K | Kimi K2.5 (Reasoning) lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | DBRX Instruct | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 50.8% | Not comparable |
| BrowseCompSource | — | 60.6% | Not comparable |
| APEX-Agents-AASource | — | 11.5% | Not comparable |
| τ²-bench resultsSource | — | 95.9% | Not comparable |
| Gert LabsSource | — | 32.58% | Not comparable |
| AA Agentic IndexSource | — | 21.7% | Not comparable |
| GDPval-AASource | — | 25.1% | Not comparable |
| GDPval-AASource | — | 1003 | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DBRX Instruct | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| GPQASource | — | 87.6% | Not comparable |
| MMLU-ProSource | — | 87.1% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 35.4% | Not comparable |
| AA-GPQA DiamondSource | — | 87.9% | Not comparable |
| AA-HLESource | — | 29.4% | Not comparable |
| AA-Omniscience IndexSource | — | -8.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 34.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 64.6% | Not comparable |
Math1 benchmarks
| Benchmark | DBRX Instruct | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| AIME 2025Source | — | 96.1% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | DBRX Instruct | Kimi K2.5 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 70.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare DBRX Instruct and Kimi K2.5 (Reasoning) 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 Kimi K2.5 (Reasoning) today?
DBRX Instruct: $0.00 input / $0.00 output per 1M tokens Kimi K2.5 (Reasoning): $0.60 input / $3.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.