o3 vs Kimi K2.7 Code
Kimi K2.7 Code comes out ahead, 64 to 58 on our weighted score, and it is the cheaper option too.
OpenAIo3
58/100- ECI146.9
- Price$2.00 / $8.00
- Context200K
- Our pick
Moonshot AIKimi K2.7 Code
64/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
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Make it a three-way comparison.
Kimi K2.7 Code is our pick
Kimi K2.7 Code is the better all-round choice, scoring 64/100 against o3 (58). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · o3 146.9
- Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · o3 $3.50 per 1M tokens (3:1 blend)
- Longest contextKimi K2.7 CodeKimi K2.7 Code 262,144 · o3 200,000 tokens
- Widest inputsSame inputso3: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
- Self-hostingKimi K2.7 CodePublishes downloadable weights
| Measure | Weight | o3 | Kimi K2.7 Code |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 74 | 78 |
| Price | 25% | 24 | 39 |
| Inputs & features | 15% | 80 | 80 |
| Context window | 10% | 32 | 37 |
| Overall | 100% | 58/100 | 64/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | o3OpenAI | Kimi K2.7 CodeMoonshot AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 146.9 | 150.0 (best) |
| ECI rank | #63 of 148 | #49 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 81.8% | 87.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 33.3% | 54.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.4% | 95.6% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 62.3% | — |
| SimpleQA VerifiedShort factual questions | 49.4% (best) | 36.5% |
| Price per million tokens | ||
| Input | $2.00 | $0.95 (best) |
| Output | $8.00 | $4.00 (best) |
| Cached input | $0.50 | $0.19 (best) |
| Blended (3:1) | $3.50 | $1.71 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Moonshot AI API |
| Limits | ||
| Context window | 200,000 tokens | 262,144 tokens (best) |
| Max output | 100,000 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | o3 | kimi-k2.7-code |
| API providers | 18 | 51 (best) |
| Released | Apr 16, 2025 | Jun 12, 2026 |
| Knowledge cutoff | May 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o3$36.00
- Kimi K2.7 Code$17.50
Which should you choose?
Which is better: o3 or Kimi K2.7 Code?
Kimi K2.7 Code is the better all-round choice, scoring 64/100 against o3 (58). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, o3 or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). o3 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.7 Code versus $3.50 for o3 (2× as much).
Which scores higher on benchmarks?
Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148) and o3 146.9 (#63 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 144.9–148.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Kimi K2.7 Code 87.9%, o3 81.8%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, o3 33.3%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, o3 84.4%; SimpleQA Verified — o3 49.4%, Kimi K2.7 Code 36.5%.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Kimi K2.7 Code has the largest context window at 262,144 tokens, against 200,000 for o3. Maximum output per response: o3 up to 100,000, Kimi K2.7 Code up to 262,144 tokens.
Which can read images, PDFs, audio or video?
o3 accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. They handle the same number of input types.
Are any of these open source?
Kimi K2.7 Code publishes its weights and can be self-hosted; o3 is proprietary.
Which is newer?
Kimi K2.7 Code is the newest, released Jun 12, 2026. o3 came out Apr 16, 2025. Knowledge cutoff: o3 May 2024, Kimi K2.7 Code Jan 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.
