Grok 4.3 vs GPT-5.2 vs GPT-5.4 mini
Grok 4.3 comes out ahead, 67 to 63 and 61 on our weighted score, and it is the cheaper option too.
- Our pick
xAIGrok 4.3
67/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
OpenAIGPT-5.2
61/100- ECI153.5
- Price$1.75 / $14.00
- Context400K
- OpenAI
GPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
Grok 4.3 is our pick
Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.4 mini (63) and GPT-5.2 (61). It leads on inputs & features and context window. GPT-5.2 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.2Capabilities Index (ECI): GPT-5.2 153.5 · Grok 4.3 149.2 · GPT-5.4 mini 148.8
- Lowest priceGrok 4.3Grok 4.3 $1.56 · GPT-5.4 mini $1.69 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.2 400,000 · GPT-5.4 mini 400,000 tokens
- Widest inputsGrok 4.3Grok 4.3: Text, Images, PDFs · GPT-5.2: Text, Images · GPT-5.4 mini: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Grok 4.3 | GPT-5.2 | GPT-5.4 mini |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 83 | 77 |
| Price | 25% | 41 | 18 | 39 |
| Inputs & features | 15% | 80 | 70 | 70 |
| Context window | 10% | 60 | 44 | 44 |
| Overall | 100% | 67/100 | 61/100 | 63/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Grok 4.3xAI | GPT-5.2OpenAI | GPT-5.4 miniOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 149.2 | 153.5 (best) | 148.8 |
| ECI rank | #55 of 148 | #38 of 148 (best) | #56 of 148 |
| GPQA DiamondGraduate-level science questions | 88.8% | 91.4% (best) | 86.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 42.8% | 67.4% (best) | 51.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% | 96.1% (best) | 88.9% |
| SWE-bench VerifiedFixing real GitHub issues | — | 73.8% | — |
| SimpleQA VerifiedShort factual questions | 33.2% | 37.1% (best) | 29.4% |
| Price per million tokens | |||
| Input | $1.25 | $1.75 | $0.75 (best) |
| Output | $2.50 (best) | $14.00 | $4.50 |
| Cached input | $0.20 | $0.175 | $0.075 (best) |
| Blended (3:1) | $1.56 (best) | $4.81 | $1.69 |
| Long-context rate | Over 200K: $2.50 / $5.00 | Same rate | Same rate |
| Price source | Official xAI API | Official OpenAI API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 400,000 tokens | 400,000 tokens |
| Max output | 30,000 tokens | 128,000 tokens (best) | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high · xhigh | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | grok-4.3 | gpt-5.2 | gpt-5.4-mini |
| API providers | 27 | 21 | 29 (best) |
| Released | Apr 17, 2026 | Dec 11, 2025 | Mar 17, 2026 |
| Knowledge cutoff | — | Aug 31, 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.
- Grok 4.3$17.50
- GPT-5.2$45.50
- GPT-5.4 mini$16.50
Which should you choose?
Which is better: Grok 4.3, GPT-5.2 or GPT-5.4 mini?
Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.4 mini (63) and GPT-5.2 (61). It leads on inputs & features and context window. GPT-5.2 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Grok 4.3, GPT-5.2 or GPT-5.4 mini?
Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI API price); GPT-5.2 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 $1.56 per million tokens for Grok 4.3 versus $1.69 for GPT-5.4 mini (1.1× as much) and $4.81 for GPT-5.2 (3.1× as much).
Which scores higher on benchmarks?
GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148), Grok 4.3 149.2 (#55 of 148) and GPT-5.4 mini 148.8 (#56 of 148). Their confidence ranges do not overlap (151.7–155.4 vs 147.6–150.8), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, Grok 4.3 88.8%, GPT-5.4 mini 86.9%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, GPT-5.4 mini 51.2%, Grok 4.3 42.8%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Grok 4.3 93.3%, GPT-5.4 mini 88.9%; SimpleQA Verified — GPT-5.2 37.1%, Grok 4.3 33.2%, GPT-5.4 mini 29.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Grok 4.3 and GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, GPT-5.2 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 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.2 and 400,000 for GPT-5.4 mini. Maximum output per response: Grok 4.3 up to 30,000, GPT-5.2 up to 128,000, GPT-5.4 mini up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Grok 4.3 accepts text, images and PDFs; GPT-5.2 accepts text and images; GPT-5.4 mini accepts text and images. Grok 4.3 handles the widest range of inputs.
Are any of these open source?
No. Grok 4.3, GPT-5.2 and GPT-5.4 mini are proprietary and only available through APIs and apps.
Which is newer?
Grok 4.3 is the newest, released Apr 17, 2026. GPT-5.4 mini came out Mar 17, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 2025, GPT-5.4 mini 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.
