GPT-6.1 Sol vs Kimi K2.6.
Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.
Verdict by category
| Category | GPT-6.1 Sol | Kimi K2.6 | Winner |
|---|---|---|---|
| League Score | 93.8 | 69.7 | GPT-6.1 Sol |
| Coding (SWE-bench %) | — | 80.2 | — |
| Reasoning (GPQA %) | — | 90.5 | — |
| Context (tokens) | 1050000 | 262144 | GPT-6.1 Sol |
| Speed (tok/s) | — | — | — |
| Price (blended $/1M) | $4.00 | $1.71 | Kimi K2.6 (cheaper) |
Tale of the tape
| Spec | GPT-6.1 Sol | Kimi K2.6 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Released | Sep 29, 2026 | Apr 20, 2026 |
| League Score | 94 | 70 |
| Context | 1,050,000 tokens | 262,144 tokens |
| Max output | 128,000 | — |
| $/1M input | $2.00 | $0.95 |
| $/1M output | $10.00 | $4.00 |
| Weights | Closed | Open |
| Speed | — | — |
Head-to-head benchmarks (shared only)
| Benchmark | GPT-6.1 Sol | Kimi K2.6 |
|---|---|---|
| No shared benchmark measurements yet — shown as not measured, never interpolated. | ||
Cost at three workloads
| Workload | GPT-6.1 Sol | Kimi K2.6 |
|---|---|---|
| Light — 1M in / 250K out | $4.50 | $1.95 |
| Standard — 10M in / 2.5M out | $45.00 | $19.50 |
| Long-context — 50M in / 5M out | $150.00 | $67.50 |
The pick
Pick GPT-6.1 Sol if you want the higher overall League Score; you need the bigger context window.
Pick Kimi K2.6 if you want the lower running cost; you want downloadable weights / self-hosting; coding is the priority.
All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.
Frequently asked questions
Which is better overall, GPT-6.1 Sol or Kimi K2.6?
GPT-6.1 Sol leads on overall League Score, 94 to 70 — a gap of 24 points on a composite of sourced benchmarks. That is overall form, not every category: check the per-category verdicts before choosing.
Which is cheaper, GPT-6.1 Sol or Kimi K2.6?
Kimi K2.6 is cheaper: $1.71 vs $4.00 blended per 1M tokens (3:1 input/output mix) — about 2.3x less per token.
Which has the bigger context window, GPT-6.1 Sol or Kimi K2.6?
GPT-6.1 Sol, with 1.1M of context against 262.1K for Kimi K2.6.
Are GPT-6.1 Sol and Kimi K2.6 open source?
GPT-6.1 Sol is closed weights — API access only; Kimi K2.6 is open weights — it can be downloaded and self-hosted.