Model comparison
Kimi K3 vs Mistral Medium 3.5
Moonshot AI against Mistral, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Moonshot AI
Kimi K3
Frontier · Open weights
Mistral
Mistral Medium 3.5
Frontier · Open weights
| Specification | Kimi K3 | Mistral Medium 3.5 |
|---|---|---|
| Provider | ||
| Provider | Moonshot AI | Mistral |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | Winner: 1.05M | 262K |
| Max output | ||
| Max output | 1.05M | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $3 | Winner: $1.50 |
| Output / 1M tokens | ||
| Output / 1M tokens | $15 | Winner: $7.50 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 2.8T (open-weight MoE) | 128B dense |
| Reasoning levels | ||
| Reasoning levels | low, high, max | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image, video | text, image |
| License | ||
| License | Not disclosedUnverified | Modified MIT |
| API model id | ||
| API model id | kimi-k3 | mistral-medium-3-5 |
| Released | ||
| Released | July 16, 2026 | April 28, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | 43.6 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | Not verifiedUnverified | 14.2 |
| Terminal-Bench 2.1 (2026-07-27) | ||
| Terminal-Bench 2.1 (2026-07-27) | 88.3 | Not verifiedUnverified |
| GPQA Diamond (2026-07-27) | ||
| GPQA Diamond (2026-07-27) | 93.5 | Not verifiedUnverified |
| Humanity's Last Exam (2026-07-27) | ||
| Humanity's Last Exam (2026-07-27) | 56 | Not verifiedUnverified |
| SWE-bench Verified (2026-09-01) | ||
| SWE-bench Verified (2026-09-01) | 93.4 | Not verifiedUnverified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-01vals.ai SWE-bench Verified leaderboard (independent, mini-swe-agent bash-only); not published by Moonshot; a 76.8 aggregator claim is low-reliability — both noted
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- 2026-07-27Kimi K3 HF model card (vendor, with tools; 43.5 no tools)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
Pricing tiers
Kimi K3: $3/$15 per MTok; cached input $0.30/MTok. max_completion_tokens can be set up to 1,048,576 (default 131,072). Open-weight under the custom Kimi K3 License (not a standard open-source licence). 2.8T MoE with native vision.
Mistral Medium 3.5: Mistral first-party API $1.50/$7.50 per MTok; Mistral advertises up to 90% off cached input (exact cached rate not verified). Open weights under a Modified MIT licence. 128B dense.
Kimi K3
Kimi K3 is Moonshot AI's open-weight frontier model — 2.8T MoE, 1M context, tied near the top of open-weight leaderboards.
Best for
- Open-weight frontier work
- Long-context
- Multimodal
Watch out
Self-hosting needs large clusters; hosted rates vary.
Mistral Medium 3.5
Mistral Medium 3.5 is the model Mistral calls its new flagship — a 128B dense open-weight model with a 256K context, powering its Vibe remote agents.
Best for
- EU-hosted frontier work
- Open-weight self-hosting
- Mistral Vibe agents
Watch out
Far behind US and Chinese frontier models on the Artificial Analysis index; max output is not published. Check the Modified MIT terms before redistribution.
When the cheaper one wins
Mistral Medium 3.5 is cheaper on output at $7.50 per million tokens against $15 for Kimi K3 — about 2.0×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Kimi K3: HuggingFace — Kimi K3 (accessed 2026-08-29)
- Kimi K3: Moonshot — Kimi K3 guide (accessed 2026-08-29)
- Kimi K3: Kimi K3 quickstart (max_completion_tokens up to 1,048,576) (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral docs — Mistral Medium 3.5 (26.04) (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral — Vibe remote agents and Mistral Medium 3.5 (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral changelog (2026-04-28) (accessed 2026-09-26)
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Diving deeper on one model? Kimi K3 · Mistral Medium 3.5
Common questions
Kimi K3 vs Mistral Medium 3.5
Answered from the verified figures on this page rather than general guidance.
Is Kimi K3 or Mistral Medium 3.5 cheaper for input?
Is Kimi K3 or Mistral Medium 3.5 cheaper for output?
Which has the larger context window, Kimi K3 or Mistral Medium 3.5?
Should I use Kimi K3 or Mistral Medium 3.5?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Mistral Medium 3.5 costs $1.50 per 1M tokens versus $3 for Kimi K3 — a 2x difference at the headline tier.
- Context: Kimi K3 takes 1.05M against 262K for Mistral Medium 3.5 — only decisive if your prompts approach the smaller window.
- Measured capability: Kimi K3 leads Artificial Analysis Intelligence Index 43.6 to 14.2 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.