Kimi K2 Thinking vs Grok 4.3 vs Qwen3.5 Plus
Too close to call on our weighted score (Grok 4.3 67, Qwen3.5 Plus 66, Kimi K2 Thinking 58). The right pick depends on what you value most.
Moonshot AIKimi K2 Thinking
58/100- ECI146.0
- Price$0.60 / $2.50
- Context262K
xAIGrok 4.3
67/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Alibaba (Qwen)Qwen3.5 Plus
66/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (Grok 4.3 67/100, Qwen3.5 Plus 66/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.5 Plus on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGrok 4.3Capabilities Index (ECI): Grok 4.3 149.2 · Qwen3.5 Plus 146.8 · Kimi K2 Thinking 146.0
- Lowest priceQwen3.5 PlusQwen3.5 Plus $0.90 · Kimi K2 Thinking $1.07 · Grok 4.3 $1.56 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3 and Qwen3.5 PlusGrok 4.3 1,000,000 · Qwen3.5 Plus 1,000,000 · Kimi K2 Thinking 262,144 tokens
- Widest inputsGrok 4.3 and Qwen3.5 PlusKimi K2 Thinking: Text · Grok 4.3: Text, Images, PDFs · Qwen3.5 Plus: Text, Images, Video
- Self-hostingKimi K2 ThinkingPublishes downloadable weights
| Measure | Weight | Kimi K2 Thinking | Grok 4.3 | Qwen3.5 Plus |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 77 | 74 |
| Price | 25% | 48 | 41 | 52 |
| Inputs & features | 15% | 35 | 80 | 70 |
| Context window | 10% | 37 | 60 | 60 |
| Overall | 100% | 58/100 | 67/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Kimi K2 ThinkingMoonshot AI | Grok 4.3xAI | Qwen3.5 PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.0 | 149.2 (best) | 146.8 |
| ECI rank | #72 of 148 | #55 of 148 (best) | #65 of 148 |
| GPQA DiamondGraduate-level science questions | 84.2% | 88.8% (best) | 84.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 42.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 83.1% | 93.3% (best) | 86.7% |
| SimpleQA VerifiedShort factual questions | — | 33.2% (best) | 25.4% |
| Price per million tokens | |||
| Input | $0.60 | $1.25 | $0.40 (best) |
| Output | $2.50 | $2.50 | $2.40 (best) |
| Cached input | — | $0.20 | — |
| Blended (3:1) | $1.07 | $1.56 | $0.90 (best) |
| Long-context rate | Same rate | Over 200K: $2.50 / $5.00 | Same rate |
| Price source | Median of 10 providers | Official xAI API | Official Alibaba API |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens (best) | 1,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 30,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | grok-4.3 | qwen3.5-plus |
| API providers | 10 | 27 (best) | 10 |
| Released | Nov 6, 2025 | Apr 17, 2026 | Feb 16, 2026 |
| Knowledge cutoff | Aug 2024 | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K2 Thinking$11.00
- Grok 4.3$17.50
- Qwen3.5 Plus$8.80
Which should you choose?
Which is better: Kimi K2 Thinking, Grok 4.3 or Qwen3.5 Plus?
It is close. Our weighted score puts them within a point (Grok 4.3 67/100, Qwen3.5 Plus 66/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.5 Plus on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Kimi K2 Thinking, Grok 4.3 or Qwen3.5 Plus?
Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). Kimi K2 Thinking costs $0.60 input / $2.50 output per million tokens (median across 10 API providers); Grok 4.3 costs $1.25 input / $2.50 output per million tokens (official xAI API price). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Qwen3.5 Plus versus $1.07 for Kimi K2 Thinking (1.2× as much) and $1.56 for Grok 4.3 (1.7× as much).
Which scores higher on benchmarks?
Grok 4.3 scores higher on the Capabilities Index (ECI): Grok 4.3 149.2 (#55 of 148), Qwen3.5 Plus 146.8 (#65 of 148) and Kimi K2 Thinking 146.0 (#72 of 148). The confidence ranges of the top two overlap (147.6–150.8 vs 144.6–148.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, Qwen3.5 Plus 84.9%, Kimi K2 Thinking 84.2%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, Qwen3.5 Plus 86.7%, Kimi K2 Thinking 83.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Thinking, Grok 4.3 and Qwen3.5 Plus yet, so there is no like-for-like coding score. On overall capability, Grok 4.3 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4.3 and Qwen3.5 Plus have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Kimi K2 Thinking. Maximum output per response: Kimi K2 Thinking up to 262,144, Grok 4.3 up to 30,000, Qwen3.5 Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking accepts text; Grok 4.3 accepts text, images and PDFs; Qwen3.5 Plus accepts text, images and video. Grok 4.3 handles the widest range of inputs.
Are any of these open source?
Kimi K2 Thinking publishes its weights and can be self-hosted; Grok 4.3 and Qwen3.5 Plus is proprietary.
Which is newer?
Grok 4.3 is the newest, released Apr 17, 2026. Qwen3.5 Plus came out Feb 16, 2026; Kimi K2 Thinking came out Nov 6, 2025. Knowledge cutoff: Kimi K2 Thinking Aug 2024, Qwen3.5 Plus Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
