ModelPriceWatch.com
Last scan 2026-09-02 Models tracked 242 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Kimi K3 vs GPT-5.6 Sol

Side-by-side comparison of API pricing, specs, benchmarks, and capabilities

Kimi K3 is 25% cheaper on blended cost ($6.00 vs $8.00/Mtok)
Specification
GPT-5.6 SolIntro price
Overview
StatusCurrent flagship Open weights Current flagship
Released Jul 16, 2026 Jul 9, 2026
Pricing per million tokens
Input $3.00/Mtok $4.00/Mtok
Output $15.00/Mtok $20.00/Mtok
Blended avg $6.00/Mtok $8.00/Mtok
Cached input $0.300/Mtok $0.400/Mtok
Price basis OpenAI labels this promotional pricing and states it is "available at least through November 21, 2026". That is a floor, not a reversion date — OpenAI publishes no date on which the rate goes back up, so no reversion is claimed here and no countdown is implied. Until 2026-08-21 this model billed $5 input / $0.50 cached input / $30 output per 1M tokens. OpenAI's rate card also prices this model by context length: the tracked figure is the short-context tier, and prompts over the short-context threshold bill at the long-context tier of $8 input / $0.80 cached input / $10 cache write / $30 output per 1M tokens. Cache writes bill at 1.25x the uncached input rate.
Specifications
Context window 1M tokens 1M tokens
Parameters Proprietary Proprietary
Speed (TPS)
Modalities
Input
textimage
textimage
Benchmarks source: Vellum LLM Leaderboard
Avg benchmark score 83.3 83.8
Perf / dollar 13.9 10.5
GPQA Diamond 93.5 94.6
SWE-Bench Verified 93.4 96.2
Terminal-Bench 2.1 88.3 88.8
BrowseComp 91.2 92.2
Humanity's Last Exam 56 47.2
HumanEval 76.8 96.2
MCP Atlas 84.2
OSWorld-Verified 62.6
ARC-AGI 2 92.5
AutoBench 18.1
Independent composite scores each on its own scale — not part of the average above
AA Intelligence Index 59.7 60.9
AA Agentic Index 54.3 57.8
AA-Omniscience Index (−100–100) 19.7 22
GDPval-AA v2 1668 ELO 1710.1 ELO
LMSYS Chatbot Arena 1485.3 ELO 1482.7 ELO
Providers
Available from
Moonshot — $3.00/$15.00/Mtok
OpenAI — $4.00/$20.00/Mtok

Cost at scale

1M tokens · 50/50 input/output
Projected cost of Kimi K3 vs GPT-5.6 Sol at increasing token volumes
VolumeKimi K3GPT-5.6 SolSavings
1M tokens $6 $8 $2 (25%)
10M tokens $60 $80 $20 (25%)
100M tokens $600 $800 $200 (25%)
1000M tokens $6000 $8000 $2000 (25%)

When to pick which

distilled from the pricing and spec data above
Pick Kimi K3 if…
  • cost dominates: $6.00/Mtok blended vs $8.00 — 25% less on the same 50/50 token mix
  • you want open weights — self-host it, fine-tune it, or exit the API entirely; GPT-5.6 Sol is closed
Pick GPT-5.6 Sol if…
  • raw capability matters more than price: 83.8 vs 83.3 average benchmark score

Price movement

recorded changes since we began tracking each model · last checked Sep 2, 2026
Recorded price changes for Kimi K3 and GPT-5.6 Sol — how many moves, the direction and date of the latest one, and its old → new prices per million tokens
Model Changes Latest move Old → new $/M
Kimi K3 0 — no move Stable since we began tracking — no change recorded
GPT-5.6 Sol 1 price cut on Aug 21, 2026 $5/$30 → $4/$20/Mtok
Only GPT-5.6 Sol has changed price since we began tracking; Kimi K3 has held steady. See all recent price moves → MODELPRICEWATCH.COM · 2026-09-02
Try Kimi K3 on Moonshot

The cheaper option here — Kimi K3 costs $6.00/Mtok blended on Moonshot.

Get API key →

Summary

Kimi K3 by Moonshot costs $3.00/Mtok input and $15.00/Mtok output, with a 1M-token context window. It supports text, image input.

GPT-5.6 Sol by OpenAI costs $4.00/Mtok input and $20.00/Mtok output, with a 1M-token context window. It supports text, image input.

On a blended cost basis, Kimi K3 is 25% cheaper than GPT-5.6 Sol.

On benchmarks, GPT-5.6 Sol scores higher (83.8 vs 83.3) on average. In terms of value, Kimi K3 has better performance per dollar (13.9 vs 10.5).

Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.

More comparisons

pairs sharing a model with this page