Kimi K3.1 Pro vs Kimi K3.1 Pro Together
Full profiles: Kimi K3.1 Pro (Moonshot AI) and Kimi K3.1 Pro Together (Moonshot AI): every benchmark, price and rank.
Updated · Data from 8 sources
As of 9 Nov 2026, Kimi K3.1 Pro and Kimi K3.1 Pro Together are neck and neck on quality (61.2 vs 60.5 on the BenchLeader Index, inside the ±4.3 margin). Choose K3.1 Pro for maths (74 vs 66); choose K3.1 Pro Together for reasoning (67 vs 60) and knowledge (68 vs 61).
Key facts (as of 9 Nov 2026)
- Kimi K3.1 Pro scores 61.2 on the BenchLeader Index and Kimi K3.1 Pro Together scores 60.5 (BenchLeader, 9 Nov 2026).
- Kimi K3.1 Pro costs $4.00 per 1M tokens blended (list price, 9 Nov 2026).
Kimi K3.1 Pro benchmarks Moonshot AI Kimi K3.1 Pro Together benchmarks max Moonshot AIAdd a third modelWhich to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Maths | Kimi K3.1 Pro | 74 vs 66 category score | High |
| Reasoning | Kimi K3.1 Pro Together | 67 vs 60 category score | Medium |
| Knowledge | Kimi K3.1 Pro Together | 68 vs 61 category score | Medium |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Kimi K3.1 Pro and Kimi K3.1 Pro Together (max) are neck and neck on quality (61.2 vs 60.5, within the ±4.3 margin).
- Kimi K3.1 Pro is stronger in agents & tools, coding, composite, long context, maths, multimodal.
- Kimi K3.1 Pro Together (max) is stronger in knowledge, reasoning.
At a glance
| Spec | Kimi K3.1 Pro | Kimi K3.1 Pro Together |
|---|---|---|
| Developer | Moonshot AI | Moonshot AI |
| Released | 23 Oct 2026 | 23 Oct 2026 |
| Context window (tokens) | 1,048,576 | – |
| Compared at | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) |
| Open weights | Yes | No |
| Price in / out / cached input per 1M | $2.00 / $10.00 / $0.200 | – |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) | Leader |
|---|---|---|---|
| Reasoning | 59.6 | 67.1 | Kimi K3.1 Pro Together |
| Coding | 59.7 | – | not comparable |
| Agents & tools | 67.9 | – | not comparable |
| Maths | 74.1 | 65.8 | Kimi K3.1 Pro |
| Knowledge | 61.3 | 67.6 | Kimi K3.1 Pro Together |
| Multimodal | 66.4 | – | not comparable |
| Long context | 68.0 | – | not comparable |
| Composite | 54.8 | – | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Coding, Agents & tools, Instruction following, Long context, Multimodal, Human preference.
Where sources disagree
Across the 0 benchmarks both have, Kimi K3.1 Pro leads 0, Kimi K3.1 Pro Together leads 0.
| Overall index | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 61.2 | 60.5 | neck and neck |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) |
|---|---|---|
| Blended price per 1M tokens | $4.00 | – |
| Input / output per 1M | $2.00 / $10.00 | – / – |
| Cached input per 1M | $0.200 | – |
| Price per task: chat reply | $0.0038 | – |
| Price per task: summarize a 30-page report | $0.030 | – |
| Price per task: code edit | $0.027 | – |
| Price per task: agentic coding session | $0.160 | – |
| Price per task: structured extraction | $0.0060 | – |
| Agentic coding session, input mostly cached | $0.079 | – |
| Cost per benchmark task (AA Index) | $3.68 | – |
| Output tokens per task (AA Index) | 72k | – |
| Of which reasoning | 44k | – |
| Time per task (AA Index) | 38 min | – |
| Output speed | 32 tok/s | – |
| Time to first answer | 167.4 s | – |
| Time to a complete answer | 399.9 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Kimi K3.1 Pro scores 61.2 and takes 167 s to its first answer token. Kimi K3.1 Pro Together (max) scores 60.5. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
69 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 61.2 | 60.5 |
| Agents & tools score | BenchLeader | 67.9 | – |
| Coding score | BenchLeader | 59.7 | – |
| Composite score | BenchLeader | 54.8 | – |
| Knowledge score | BenchLeader | 61.3 | 67.6 |
| Long context score | BenchLeader | 68.0 | – |
| Maths score | BenchLeader | 74.1 | 65.8 |
| Multimodal score | BenchLeader | 66.4 | – |
| Reasoning score | BenchLeader | 59.6 | 67.1 |
| Blended price $/M | BenchLeader | $4.00 | – |
| Output speed | BenchLeader | 32 tok/s | – |
| Time to first answer | BenchLeader | 167.4 s | – |
| Context window | BenchLeader | 1,048,576 tokens | – |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 94.2% |
| LiveBench 2.0 Reasoning | LiveBench | 91.1% | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 52.5% | – |
| HLE-Diamond (AA) | Artificial Analysis | 37.3% | – |
| CritPt | Artificial Analysis | 24.6% | – |
| CritPt v2 hard subset (AA) | Artificial Analysis | 49.5% | – |
| MysteryMechanism | Vals AI | 26.1%† | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 45.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | – | 42.0% |
| Coding | |||
| SciCode | SciCode | 60.8% | – |
| Arena WebDev | Arena (LMArena) | 1687† | – |
| LiveBench 2.0 Coding | LiveBench | 67.8% | – |
| IOI | Vals AI | 81.9%† | – |
| Vibe Code Bench v1.1 | Vals AI | 84.9%† | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 1932.8† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 67.2% | – |
| Startrise Frontend | Startrise | 82.5% | – |
| GameBench 2 Overall | DuelLab GameBench 2 | 78.2 | – |
| GameBench 2 by reasoning setting | DuelLab GameBench 2 | 79.2† | – |
| Design Arena Website | Design Arena | 1320 | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | 47.1% | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 25.4% | – |
| Agents & tools | |||
| Arena Agent | Arena (LMArena) | 5.2† | – |
| LiveBench Long Agentic | LiveBench | 38.7% | – |
| LiveBench Browser | LiveBench | 75.9% | – |
Show all 69 benchmarks
| Metric | Publisher | Kimi K3.1 Pro | Kimi K3.1 Pro Together (max) |
|---|---|---|---|
| Agents & tools | |||
| GDPval-AA v2.1, normalised score | Artificial Analysis | 67.3% | – |
| GDPval-AA v2.1 | Artificial Analysis | 1858 | – |
| Analyst Agent (AA) | Artificial Analysis | 38.8% | – |
| Finance Agent v2.1 | Vals AI | 61.5%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.7%† | – |
| Legal Research Bench | Vals AI | 37.5%† | – |
| SREBench | Vals AI | 27.1%† | – |
| Tax Agent Bench | Vals AI | 24.9%† | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 63.6%† | – |
| Terminal-Bench Science | Vals AI | 31.4%† | – |
| AutomationBench | Artificial Analysis | 73.3% | – |
| GDP.pdf (AA) | Artificial Analysis | 31.4% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1674 | – |
| Design Arena Agentic | Design Arena | 1284 | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 34.3% | – |
| CWE-Bench (AA) | Artificial Analysis | 60.8% | – |
| DeepSec-Bench (AA) | Artificial Analysis | 36.7% | – |
| CyberGym end-to-end (AA) | Artificial Analysis | 94.7% | – |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | – | 78.3% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | – | 65.8% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 100.0% |
| ProofBench | Vals AI | 91.0% | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 62.2% |
| LiveBench 2.0 Data Analysis | LiveBench | 79.1% | – |
| LiveBench Research | LiveBench | 82.1% | – |
| AA-Omniscience v1.1 | Artificial Analysis | 29.9 | – |
| BioMysteryBench | Vals AI | 75.6%† | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 70.0%† | – |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.9% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 62.7% | – |
| Multimodal | |||
| LiveBench Design | LiveBench | 73.7% | – |
| MMMU-Pro | Artificial Analysis | 83.9% | – |
| AA-3D | Artificial Analysis | 1112 | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 86.3% | – |
| MLCR | Artificial Analysis | 38.3% | – |
| Composite | |||
| LiveBench 2.0 | LiveBench | 68.7% | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 46.5 | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 55.1 | – |
| AA Progress Index v1 | Artificial Analysis | 340.7 | – |
| Vals Index | Vals AI | 62.5† | – |
| Vals Finance Index | Vals AI | 56.0%† | – |
| Vals Science Index | Vals AI | 44.4%† | – |
| AA Cyber Index | Artificial Analysis | 64.1 | – |
| Metadata | |||
| AA Openness Index | Artificial Analysis | 33.3 | – |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.
What changed
- Kimi K3.1 Pro: BenchLeader Index 61.8 → 61.2.
- Kimi K3.1 Pro: 5 score revisions.
- Kimi K3.1 Pro: BenchLeader Index 61.3 → 61.8.
- Kimi K3.1 Pro Together (max): first results.
- Kimi K3.1 Pro: 1 new result (GameBench 2 Overall); 1 score revision.
- Kimi K3.1 Pro: 1 score revision.
- Kimi K3.1 Pro: BenchLeader Index 59.3 → 61.3.
- Kimi K3.1 Pro: 3 new results (SciCode, ProofBench, Startrise Frontend).
- Kimi K3.1 Pro: BenchLeader Index 61.8 → 59.3.
- Kimi K3.1 Pro: 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 2 score revisions; Kimi K3.1 Pro cost per task moved from $2.11/M to $3.68/M (74% up).
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- Kimi K3 vs Kimi K3.1 Pro Together
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Kimi K3.1 Pro vs Kimi K3.1 Pro Together: questions
- Is Kimi K3.1 Pro better than Kimi K3.1 Pro Together?
- Kimi K3.1 Pro and Kimi K3.1 Pro Together (max) are neck and neck on quality (61.2 vs 60.5, within the ±4.3 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
- When was Kimi K3.1 Pro released?
- Kimi K3.1 Pro was released on 23 Oct 2026.