GPT-5.3 Chat vs Kimi K3
Kimi K3 comes out ahead, 43 to 32 on our weighted score, though GPT-5.3 Chat is 20% cheaper per token.
OpenAI
GPT-5.3 Chat
32/100- ECI—
- Price$1.75 / $14.00
- Context128K
- Our pick
Moonshot AI
Kimi K3
43/100- ECI157.6
- Price$3.00 / $15.00
- Context1.05M
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Make it a three-way comparison.
Kimi K3 is our pick
Kimi K3 is the better all-round choice, scoring 43/100 against GPT-5.3 Chat (32). It leads on inputs & features and context window. GPT-5.3 Chat wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5.3 ChatGPT-5.3 Chat $4.81 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
- Longest contextKimi K3Kimi K3 1,048,576 · GPT-5.3 Chat 128,000 tokens
- Widest inputsKimi K3GPT-5.3 Chat: Text, Images · Kimi K3: Text, Images, Video
- Self-hostingKimi K3Publishes downloadable weights
| Measure | Weight | GPT-5.3 Chat | Kimi K3 |
|---|---|---|---|
| Price | 50% | 18 | 13 |
| Inputs & features | 30% | 60 | 80 |
| Context window | 20% | 24 | 61 |
| Overall | 100% | 32/100 | 43/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 157.6 |
| ECI rank | — | #13 of 148 |
| GPQA DiamondGraduate-level science questions | — | 93.1% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 72.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 97.2% |
| SimpleQA VerifiedShort factual questions | — | 50.6% |
| Price per million tokens | ||
| Input | $1.75 (best) | $3.00 |
| Output | $14.00 (best) | $15.00 |
| Cached input | $0.175 (best) | $0.30 |
| Blended (3:1) | $4.81 (best) | $6.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Moonshot AI API |
| Limits | ||
| Context window | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | Yeslow · high · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gpt-5.3-chat-latest | kimi-k3 |
| API providers | 4 | 68 (best) |
| Released | Mar 3, 2026 | Jul 16, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.3 Chat$45.50
Kimi K3$60.00
Which should you choose?
Which is better: GPT-5.3 Chat or Kimi K3?
Kimi K3 is the better all-round choice, scoring 43/100 against GPT-5.3 Chat (32). It leads on inputs & features and context window. GPT-5.3 Chat wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5.3 Chat or Kimi K3?
GPT-5.3 Chat is cheaper at $1.75 input / $14.00 output per million tokens (official OpenAI API price). Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). At a typical mix of three input tokens to one output token, that is $4.81 per million tokens for GPT-5.3 Chat versus $6.00 for Kimi K3 (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.3 Chat has not been scored yet and Kimi K3 has an ECI of 157.6.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.3 Chat and Kimi K3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Kimi K3 has the largest context window at 1,048,576 tokens, against 128,000 for GPT-5.3 Chat. Maximum output per response: GPT-5.3 Chat up to 16,384, Kimi K3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-5.3 Chat accepts text and images; Kimi K3 accepts text, images and video. Kimi K3 handles the widest range of inputs.
Are any of these open source?
Kimi K3 publishes its weights and can be self-hosted; GPT-5.3 Chat is proprietary.
Which is newer?
Kimi K3 is the newest, released Jul 16, 2026. GPT-5.3 Chat came out Mar 3, 2026. Knowledge cutoff: GPT-5.3 Chat Aug 31, 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.