# Kimi K2.7 Code vs Mercury 2.5

> Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.5 on the Noometry Index. Mercury 2.5 costs 25× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/kimi-k2-7-code-vs-mercury-2-5
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Kimi K2.7 Code scores higher in 3 categories and Mercury 2.5 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 23.3.
- The biggest single-benchmark swing is CritPt: 10% for Kimi K2.7 Code and 0% for Mercury 2.5.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 260K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| Provider | Moonshot AI | Inception |
| Noometry Index | 43.3 | 33.5 |
| Rank | 94 | 242 |
| Context | 262K | 260K |
| Input $/M | $0.95 | $0.04 |
| Output $/M | $4 | $0.15 |
| Weights | Open | Proprietary |

## Coding

- Kimi K2.7 Code: 42.9 (#95)
- Mercury 2.5: 39.5 (#156)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| SciCode | 47.5% | 38.5% |
| ALE-Bench | 886.23 | 301.65 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| WeirdML | 54.1% | — |

## Agentic & Tool Use

- Kimi K2.7 Code: 24.0 (#122)
- Mercury 2.5: —

| Benchmark | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |

## Reasoning

- Kimi K2.7 Code: 39.0 (#61)
- Mercury 2.5: 22.4 (#193)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| CritPt | 10% | 0% |
| SimpleBench | 57.9% | — |
| Chess Puzzles | 21% | — |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |

## Math

- Kimi K2.7 Code: 52.9 (#48)
- Mercury 2.5: 23.3 (#272)

| Benchmark | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | — | 3% |

## Knowledge

- Kimi K2.7 Code: 53.5 (#57)
- Mercury 2.5: —

| Benchmark | Kimi K2.7 Code | Mercury 2.5 |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |

## FAQ

### Is Kimi K2.7 Code better than Mercury 2.5?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.5 on the Noometry Index. Mercury 2.5 costs 25× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

### Which is cheaper, Kimi K2.7 Code or Mercury 2.5?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

### Is Kimi K2.7 Code or Mercury 2.5 better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 260K.

### How many benchmarks do Kimi K2.7 Code and Mercury 2.5 share?

3 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mercury 2.5 has 4.