Gemini 3.1 Pro Preview vs Kimi K2.7 Code vs GPT-5.3 Codex
Gemini 3.1 Pro Preview comes out ahead, 68 to 64 and 64 on our weighted score, though Kimi K2.7 Code is 2.6× cheaper per token.
- Our pick
GoogleGemini 3.1 Pro Preview
68/100- ECI154.8
- Price$2.00 / $12.00
- Context1.05M
Moonshot AIKimi K2.7 Code
64/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
OpenAIGPT-5.3 Codex
64/100- ECI156.8
- Price$1.75 / $14.00
- Context400K
Gemini 3.1 Pro Preview is our pick
Gemini 3.1 Pro Preview is the better all-round choice, scoring 68/100 against Kimi K2.7 Code (64) and GPT-5.3 Codex (64). It leads on inputs & features and context window. Kimi K2.7 Code wins on price. GPT-5.3 Codex wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.3 CodexCapabilities Index (ECI): GPT-5.3 Codex 156.8 · Gemini 3.1 Pro Preview 154.8 · Kimi K2.7 Code 150.0
- Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Gemini 3.1 Pro Preview $4.50 · GPT-5.3 Codex $4.81 per 1M tokens (3:1 blend)
- Longest contextGemini 3.1 Pro PreviewGemini 3.1 Pro Preview 1,048,576 · GPT-5.3 Codex 400,000 · Kimi K2.7 Code 262,144 tokens
- Widest inputsGemini 3.1 Pro PreviewGemini 3.1 Pro Preview: Text, Images, PDFs, Audio, Video · Kimi K2.7 Code: Text, Images, Video · GPT-5.3 Codex: Text, Images, PDFs
- Self-hostingKimi K2.7 CodePublishes downloadable weights
| Measure | Weight | Gemini 3.1 Pro Preview | Kimi K2.7 Code | GPT-5.3 Codex |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 78 | 87 |
| Price | 25% | 19 | 39 | 18 |
| Inputs & features | 15% | 100 | 80 | 80 |
| Context window | 10% | 61 | 37 | 44 |
| Overall | 100% | 68/100 | 64/100 | 64/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 3.1 Pro PreviewGoogle | Kimi K2.7 CodeMoonshot AI | GPT-5.3 CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 154.8 | 150.0 | 156.8 (best) |
| ECI rank | #31 of 148 | #49 of 148 | #18 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 94.4% (best) | 87.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 59.7% (best) | 54.0% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 95.6% (best) | 95.6% | — |
| SWE-bench VerifiedFixing real GitHub issues | 75.6% (best) | — | 74.8% |
| SimpleQA VerifiedShort factual questions | 73.5% (best) | 36.5% | — |
| Price per million tokens | |||
| Input | $2.00 | $0.95 (best) | $1.75 |
| Output | $12.00 | $4.00 (best) | $14.00 |
| Cached input | $0.20 | $0.19 | $0.175 (best) |
| Blended (3:1) | $4.50 | $1.71 (best) | $4.81 |
| Long-context rate | Over 200K: $4.00 / $18.00 | Same rate | Same rate |
| Price source | Official Google API | Official Moonshot AI API | Official OpenAI API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 400,000 tokens |
| Max output | 65,536 tokens | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yeslow · medium · high | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gemini-3.1-pro-preview | kimi-k2.7-code | gpt-5.3-codex |
| API providers | 26 | 51 (best) | 19 |
| Released | Feb 19, 2026 | Jun 12, 2026 | Feb 5, 2026 |
| Knowledge cutoff | Jan 2025 | Jan 2025 | 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.
- Gemini 3.1 Pro Preview$44.00
- Kimi K2.7 Code$17.50
- GPT-5.3 Codex$45.50
Which should you choose?
Which is better: Gemini 3.1 Pro Preview, Kimi K2.7 Code or GPT-5.3 Codex?
Gemini 3.1 Pro Preview is the better all-round choice, scoring 68/100 against Kimi K2.7 Code (64) and GPT-5.3 Codex (64). It leads on inputs & features and context window. Kimi K2.7 Code wins on price. GPT-5.3 Codex wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 3.1 Pro Preview, Kimi K2.7 Code or GPT-5.3 Codex?
Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per million tokens (official Google API price); GPT-5.3 Codex costs $1.75 input / $14.00 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 $4.50 for Gemini 3.1 Pro Preview (2.6× as much) and $4.81 for GPT-5.3 Codex (2.8× as much).
Which scores higher on benchmarks?
GPT-5.3 Codex scores higher on the Capabilities Index (ECI): GPT-5.3 Codex 156.8 (#18 of 148), Gemini 3.1 Pro Preview 154.8 (#31 of 148) and Kimi K2.7 Code 150.0 (#49 of 148). The confidence ranges of the top two overlap (153.5–160.8 vs 152.6–157.3), so treat the gap as small.
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, GPT-5.3 Codex 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?
Gemini 3.1 Pro Preview has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.3 Codex and 262,144 for Kimi K2.7 Code. Maximum output per response: Gemini 3.1 Pro Preview up to 65,536, Kimi K2.7 Code up to 262,144, GPT-5.3 Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 3.1 Pro Preview accepts text, images, PDFs, audio and video; Kimi K2.7 Code accepts text, images and video; GPT-5.3 Codex accepts text, images and PDFs. Gemini 3.1 Pro Preview handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code publishes its weights and can be self-hosted; Gemini 3.1 Pro Preview and GPT-5.3 Codex is proprietary.
Which is newer?
Kimi K2.7 Code is the newest, released Jun 12, 2026. Gemini 3.1 Pro Preview came out Feb 19, 2026; GPT-5.3 Codex came out Feb 5, 2026. Knowledge cutoff: Gemini 3.1 Pro Preview Jan 2025, Kimi K2.7 Code Jan 2025, GPT-5.3 Codex 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.
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