Gemini 2.5 Pro vs GPT-5.4 mini vs Grok 4.3
Grok 4.3 comes out ahead, 67 to 63 and 63 on our weighted score, and it is the cheaper option too.
GoogleGemini 2.5 Pro
63/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
OpenAIGPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
- Our pick
xAIGrok 4.3
67/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Grok 4.3 is our pick
Grok 4.3 is the better all-round choice, scoring 67/100 against Gemini 2.5 Pro (63) and GPT-5.4 mini (63). Gemini 2.5 Pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGrok 4.3Capabilities Index (ECI): Grok 4.3 149.2 · GPT-5.4 mini 148.8 · Gemini 2.5 Pro 145.3
- Lowest priceGrok 4.3Grok 4.3 $1.56 · GPT-5.4 mini $1.69 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Grok 4.3 1,000,000 · GPT-5.4 mini 400,000 tokens
- Widest inputsGemini 2.5 ProGemini 2.5 Pro: Text, Images, PDFs, Audio, Video · GPT-5.4 mini: Text, Images · Grok 4.3: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.5 Pro | GPT-5.4 mini | Grok 4.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 72 | 77 | 77 |
| Price | 25% | 24 | 39 | 41 |
| Inputs & features | 15% | 100 | 70 | 80 |
| Context window | 10% | 61 | 44 | 60 |
| Overall | 100% | 63/100 | 63/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 ProGoogle | GPT-5.4 miniOpenAI | Grok 4.3xAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.3 | 148.8 | 149.2 (best) |
| ECI rank | #78 of 148 | #56 of 148 | #55 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 85.3% | 86.9% | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 24.6% | 51.2% (best) | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 84.7% | 88.9% | 93.3% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 57.6% | — | — |
| SimpleQA VerifiedShort factual questions | — | 29.4% | 33.2% (best) |
| Price per million tokens | |||
| Input | $1.25 | $0.75 (best) | $1.25 |
| Output | $10.00 | $4.50 | $2.50 (best) |
| Cached input | $0.125 | $0.075 (best) | $0.20 |
| Blended (3:1) | $3.44 | $1.69 | $1.56 (best) |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Over 200K: $2.50 / $5.00 |
| Price source | Official Google API | Official OpenAI API | Official xAI API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 400,000 tokens | 1,000,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens (best) | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gemini-2.5-pro | gpt-5.4-mini | grok-4.3 |
| API providers | 22 | 29 (best) | 27 |
| Released | Jun 17, 2025 | Mar 17, 2026 | Apr 17, 2026 |
| Knowledge cutoff | 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 2.5 Pro$32.50
- GPT-5.4 mini$16.50
- Grok 4.3$17.50
Which should you choose?
Which is better: Gemini 2.5 Pro, GPT-5.4 mini or Grok 4.3?
Grok 4.3 is the better all-round choice, scoring 67/100 against Gemini 2.5 Pro (63) and GPT-5.4 mini (63). Gemini 2.5 Pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemini 2.5 Pro, GPT-5.4 mini or Grok 4.3?
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); Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 for Gemini 2.5 Pro (2.2× 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), GPT-5.4 mini 148.8 (#56 of 148) and Gemini 2.5 Pro 145.3 (#78 of 148). The confidence ranges of the top two overlap (147.6–150.8 vs 147.1–150.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, GPT-5.4 mini 86.9%, Gemini 2.5 Pro 85.3%; FrontierMath Tiers 1–3 — GPT-5.4 mini 51.2%, Grok 4.3 42.8%, Gemini 2.5 Pro 24.6%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, GPT-5.4 mini 88.9%, Gemini 2.5 Pro 84.7%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 mini and Grok 4.3 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?
Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 1,000,000 for Grok 4.3 and 400,000 for GPT-5.4 mini. Maximum output per response: Gemini 2.5 Pro up to 65,536, GPT-5.4 mini up to 128,000, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro accepts text, images, PDFs, audio and video; GPT-5.4 mini accepts text and images; Grok 4.3 accepts text, images and PDFs. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro, GPT-5.4 mini and Grok 4.3 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; Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Pro Jan 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.
