# Kimi K2.7 Code vs Mercury 2.5

> Side-by-side benchmark comparison for Kimi K2.7 Code and Mercury 2.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/kimi-k2-7-code-vs-mercury-2-5
- Last updated: September 8, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for Kimi K2.7 Code and Mercury 2.5.

## Summary

- Kimi K2.7 Code and Mercury 2.5 do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | Kimi K2.7 Code | Mercury 2.5 |
|----------|----------|----------|
| Creator | Moonshot AI | Inception |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 256K | 260K |
| Independent public score (not head-to-head) | 65.52 | null |
| Benchmarks Covered | 8 | 5 |
| Pricing (input/output) | $0.95 / $4.00 | $0.04 / $0.15 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Kimi K2.7 Code public-lane score: 46.8 (Estimated · #76/152)
- Mercury 2.5 public-lane score: 44.5 (Estimated · #91/152)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| Kimi Claw 24/7 | 46.9% | Coming soon | Coming soon |
| MCP Atlas | 76% | Coming soon | Coming soon |
| MCP Mark Verified | 81.1% | Coming soon | Coming soon |
| τ³-bench results | Coming soon | 96.0% | Coming soon |
| DeepSearchQA | Coming soon | 34.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Kimi K2.7 Code public-lane score: 51 (Supported · #52/151)
- Mercury 2.5 public-lane score: 47.8 (Estimated · #73/151)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| Kimi Code Bench v2 | 62.0% | Coming soon | Coming soon |
| ProgramBench | 53.6% | Coming soon | Coming soon |
| MLS-Bench Lite | 35.1% | Coming soon | Coming soon |
| cursorBench32 | 49.7% | Coming soon | Coming soon |
| OpenHarmony Bench | 52.1% | Coming soon | Coming soon |
| SciCode | Coming soon | 38% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Kimi K2.7 Code public-lane score: 75.5 (Unranked · 2 rankable rows)
- Mercury 2.5 public-lane score: 67.7 (Unranked · 1 rankable row)

### Knowledge

- Winner: Insufficient shared evidence
- Kimi K2.7 Code public-lane score: 61.7 (Estimated · #31/182)
- Mercury 2.5 public-lane score: 48.3 (Estimated · #94/182)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | Coming soon | 79.0% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Kimi K2.7 Code public-lane score: 76.6 (#57/121)
- Mercury 2.5 public-lane score: 80.1 (#53/121)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 77% | Coming soon |

## FAQ

### Can I compare Kimi K2.7 Code and Mercury 2.5 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [Kimi K2.7 Code vs Mercury 2.5 Preview](/compare/kimi-k2-7-code-vs-mercury-2-5-preview)
- [Mercury 2.5 vs Mercury 2.5 Preview](/compare/mercury-2-5-vs-mercury-2-5-preview)
- [Kimi K2.7 Code vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-kimi-k2-7-code)
- [Mercury 2.5 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-mercury-2-5)

## Explore More

- [Kimi K2.7 Code profile](/models/kimi-k2-7-code)
- [Mercury 2.5 profile](/models/mercury-2-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)