Model comparison · accepted catalogue facts 2026-10-21
Kimi K2.6 vs GPT-5.6 Sol
Neither model has both an equal-or-higher measured score and an equal-or-lower estimated price in this pair. Retaining your current model is a valid outcome.
Editorial comparison: Direct benchmark rivals: GPT-5.6 Sol (OpenAI) vs Kimi K2.6 (Moonshot AI) with overlapping confidence intervals Inclusion does not recommend either model.
Balanced effective USD / 1M tokens · lower is better
$8.00/M
In-Depth Analysis
Kimi K2.6 vs GPT-5.6 Sol: Measured Technical Breakdown
Comprehensive comparison across measured human-preference evaluation, effective production token costs, architectural limits, and migration trade-offs.
Measured Capability (LMArena)
GPT-5.6 Sol leads by 1.8 Elo
Kimi K2.6: 1455.4 ±4.41 · GPT-5.6 Sol: 1457.2 ±4.34 Intervals overlap — not a guaranteed quality advantage
Cost Comparison Across Canonical Production Workloads
Rates represent effective cost per 1M tokens under standard token blends. Cached prompt reads are factored according to workload context reuse.
Workload & Ratio
Kimi K2.6
GPT-5.6 Sol
Cost Difference
Advantage
Balanced3 tokens in per 1 out
$0.825/1M tokens
$8.00/1M tokens
$7.18(90% diff)
Kimi K2.6 costs less
SummariseHuge input, tiny output
$0.410/1M tokens
$3.77/1M tokens
$3.36(89% diff)
Kimi K2.6 costs less
ChatLong cached system prompt
$0.929/1M tokens
$9.32/1M tokens
$8.39(90% diff)
Kimi K2.6 costs less
Code genOutput dominates
$1.32/1M tokens
$13.31/1M tokens
$11.99(90% diff)
Kimi K2.6 costs less
AgenticContext replayed each turn
$0.434/1M tokens
$4.26/1M tokens
$3.82(90% diff)
Kimi K2.6 costs less
Architectural & Operational Specifications
Specification
Kimi K2.6
GPT-5.6 Sol
Operational Note
Context window
262,144 tokens
1,050,000 tokens
GPT-5.6 Sol has a 4.0× larger context window
Max output generation
235,929 tokens
128,000 tokens
Kimi K2.6 allows longer single-turn completions
Base input price
$0.450 / 1M tokens
$4.00 / 1M tokens
Kimi K2.6 input rate is cheaper
Base output price
$1.95 / 1M tokens
$20.00 / 1M tokens
Kimi K2.6 output rate is cheaper
Cached input price
$0.045 / 1M tokens
$0.400 / 1M tokens
Kimi K2.6 offers lower cached prompt cost
Reasoning & thinking tokens
Supported; standard rates
Supported; standard rates
—
Input modalities
text, image
file, image, text
—
Tool calling / function use
Supported
Supported
—
Open weights & licence
Proprietary (API-only)
Proprietary (proprietary)
GPT-5.6 Sol allows independent hosting or local deployment
Provider & reseller market
Moonshot AI · 17 provider offers (2.43× spread)
OpenAI · 7 provider offers (2.2× spread)
—
When to Choose Kimi K2.6
Higher maximum completion limit (235,929 tokens).
Direct integration with Moonshot AI tooling and API features.
Risks when moving from GPT-5.6 Sol → Kimi K2.6:
Context window: 1,050,000 → 262,144 tokens.
file input is not supported by the candidate.
When to Choose GPT-5.6 Sol
Higher measured general capability (1457.2 Elo on human evaluation).
Larger context window (1,050,000 tokens) for long-document or repo-level context.
These settings are included in the share link. The fixed-request scenario and private evaluation data below are excluded.
A ↔ B
Neither model has both an equal-or-higher measured score and an equal-or-lower estimated price in this pair. Retaining your current model is a valid outcome.
Estimated blend: 75% input, 25% output; 0% cached input. Base context tier. Prompt length selects the billing tier. An unlisted cache-read rate uses that tier’s full input rate in this blend; missing required input or output rates prevent an estimate. The fixed-request estimate below validates actual context and output limits and requires a published cache-read rate when cache hits are assumed.
What changes between these models
Quality first, then estimated price. LMArena scores are human-preference measurements, not a benchmark of your application. A missing score is unrated.
Kimi K2.6 · Meets the stated model requirements
GPT-5.6 Sol · Meets the stated model requirements
Material differences and unknown evidence. Deltas compare each model with model A. Unknown facts remain visible.
Provider counts and precision flags describe catalogue offers. They do not establish the precision, availability, region, tool behaviour or limits of your chosen endpoint. Open each model’s provider table before switching.
Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.
Input-token threshold
Input
Output
Cached input
Base, up to and including first threshold
$4
$20
$0.4
> 272,000
$8
$30
$0.8
Migration preflight · compare each candidate with model A
Keeping Kimi K2.6 is a valid decision. No pairwise comparison certifies a drop-in replacement.
Kimi K2.6 → GPT-5.6 Sol
Known loss or failed requirement
Output limit: 235,929 → 128,000 tokens.
Provider endpoint, serving precision, availability and task success need your own verification. Catalogue model capabilities do not certify an endpoint.
Private to this tab unless you save locally or explicitly export private details. These are estimates, not observed invoices. Cross-model token counts and task success are assumptions.
0.1 extra attempts means 10 extra full attempts per 100 requests. Cache writes, tool charges, taxes and unlisted charges are excluded.
Kimi K2.6Estimated total: $1.875 1,000 full attempts · base rates
GPT-5.6 SolEstimated total: $18 1,000 full attempts · base rates
Prompt and output sensitivity · sampled scenarios
Every point recalculates the entire request shape. Tier-boundary samples include one token below, at and above each threshold. Ordering between samples is not guaranteed. Lowest known cost excludes unknown estimates and is not a replacement recommendation.
Vary input; hold output, requests, cache and retries fixed.
Input tokens
Kimi K2.6
GPT-5.6 Sol
Coverage
2,000
$1.875Lowest known
$18
All computed
4,096
$2.8182Lowest known
$26.384
All computed
32,768
$15.7206Lowest known
$141.072
All computed
131,072
$59.9574Lowest known
$534.288
All computed
271,999
ineligibleInput plus output exceeds the published context window.
$1,097.996Lowest known
Incomplete
272,000
ineligibleInput plus output exceeds the published context window.
$1,098Lowest known
Incomplete
272,001
ineligibleInput plus output exceeds the published context window.
$2,191.008Lowest known
Incomplete
Vary output; hold input, requests, cache and retries fixed.
Output tokens
Kimi K2.6
GPT-5.6 Sol
128
$1.1496
$10.56
2,048
$4.8936
$48.96
8,192
$16.8744
$171.84
Bring your observed evaluation results
JSON is parsed locally. Prompts, filenames, individual responses and extra fields are not retained. Import only aggregate measurements for selected models. Task/version labels do not establish that two evaluations used the same dataset.
Use the exact catalogue ID. Replace the example values with observed measurements. Omit costUsd or latencyMs when they are unknown. No public score is inferred from these observations.
Keep the decision and its evidence
A portable record retains selected facts, complete tier ladders, public requirements and the publication manifest. It also embeds the full permitted public catalogue to verify the input artifact checksum. Files are larger for this reason (up to 2 MB); local storage is limited to 12 records. Team review is local to this browser; there is no hosted collaboration.
Saving is opt-in and includes private review fields. Shared comparison links never include them. Version 1 Check references remain separate and are not overwritten or guessed into this format.
Saved local decisions · 0
No version 2 decision records are stored in this browser.
Questions this page answers
Is Kimi K2.6 a better-and-cheaper replacement for GPT-5.6 Sol?
Neither model has both an equal-or-higher measured score and an equal-or-lower estimated price in this pair. Retaining your current model is a valid outcome.
Which model is higher rated: Kimi K2.6 or GPT-5.6 Sol?
GPT-5.6 Sol scores higher on LMArena general (1457.2 ±4.3) compared to Kimi K2.6 (1455.4 ±4.4), a margin of 1.8 Elo points. However, because the 95% confidence intervals overlap, this does not establish an unconditional superiority across all tasks.
Which model is more cost-effective: Kimi K2.6 or GPT-5.6 Sol?
On a standard balanced workload (3 prompt tokens per 1 generated token), Kimi K2.6 costs $0.825 per 1M tokens versus $8.00 for GPT-5.6 Sol. GPT-5.6 Sol is approximately 9.7× the price of Kimi K2.6. Base input rates are $0.450 for Kimi K2.6 and $4.00 for GPT-5.6 Sol; base output rates are $1.95 for Kimi K2.6 and $20.00 for GPT-5.6 Sol.
How do their context windows and generation limits compare?
Kimi K2.6 provides a 262,144-token context window with a maximum output limit of 235,929 tokens. GPT-5.6 Sol provides a 1,050,000-token context window with a maximum output of 128,000 tokens. GPT-5.6 Sol offers a 4.0× larger context capacity, making it suitable for larger repositories and multi-document workflows.
What capabilities are lost when switching between Kimi K2.6 and GPT-5.6 Sol?
Switching from Kimi K2.6 to GPT-5.6 Sol involves: Output limit: 235,929 → 128,000 tokens. Conversely, moving from GPT-5.6 Sol to Kimi K2.6 involves: Context window: 1,050,000 → 262,144 tokens; file input is not supported by the candidate. Run test suites on your specific prompt templates and tool declarations before cutting over production traffic.
Can Kimi K2.6 or GPT-5.6 Sol be self-hosted or deployed privately?
Both Kimi K2.6 and GPT-5.6 Sol are proprietary cloud models offered via managed API endpoints. Kimi K2.6 is served by Moonshot AI and 17 catalogue offers, while GPT-5.6 Sol is served by OpenAI and 7 catalogue offers.
What is included in this comparison?
Accepted model capabilities, context and output limits, complete price-tier ladders, independent LMArena measurements and missing evidence. Provider endpoint precision and application success still need verification.
Can I compare a different workload or keep a decision record?
Yes. Change the public workload, prompt length and requirements in the comparison workspace. Fixed-request scenarios, aggregate evaluations and review notes stay local unless explicitly exported.
