Compare

Kimi-K2.6 vs Qwen-Image-2.0

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

Search2/4
Kimi-K2.6
moonshot/kimi-k2.6
Qwen-Image-2.0
alibaba/qwen-image-2.0
Provider
Moonshot
Alibaba
Family
Kimi
Modality
text
image
Context window
262,144 tok
—
Max output
16,384 tok
—
Released
2026-04-20
2026-03-03
License
Open-weight
Open-weight
Input price
$0.950 /1M
—
Output price
$4.00 /1M
—
Cache read
$0.160 /1M
—
Per image
—
$0.035 /img
Tools
yes
—
Streaming
yes
—
Vision
yes
—
JSON mode
yes
—
Reasoning
yes
—
Prompt caching
yes
—
Batch API
—
—
Try it
Open in playground →
View model →
Kimi-K2.6
moonshot/kimi-k2.6
Full spec →

Kimi K2.6 is a frontier-scale open-source 1T parameter model with a 262.1k context window, multi-turn tool calling, vision inputs, and structured outputs for agentic workloads.

Strengths
  • Frontier-scale 1T parameters, open-weight
  • ~10× cheaper than Opus
  • Multi-turn tool calling + vision
Use cases
Code agentsLong-document reasoningCost-conscious production
Qwen-Image-2.0
alibaba/qwen-image-2.0
Full spec →
Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art

Benchmarks

Kimi-K2.6
Qwen-Image-2.0
HumanEval
92.7
—
SWE-Bench
68.2
—

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

Compare with another

Kimi-K2.6 vs Kimi-K2.7-Code
moonshot/kimi-k2.6 · moonshot/kimi-k2.7-code
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Kimi-K2.6
client.chat.completions.create(
    model="moonshot/kimi-k2.6",
    messages=[{"role":"user","content":"hello"}],
)

# Qwen-Image-2.0
client.chat.completions.create(
    model="alibaba/qwen-image-2.0",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →