GPT-5.4 mini vs Mistral Medium 3 vs Grok 4.3
Grok 4.3 comes out ahead, 67 to 63 and 53 on our weighted score, though Mistral Medium 3 is 2× cheaper per token.
OpenAI
GPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
- Our pick
xAI
Grok 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 GPT-5.4 mini (63) and Mistral Medium 3 (53). It leads on inputs & features and context window. Mistral Medium 3 wins on price. 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 · Mistral Medium 3 134.1
- Lowest priceMistral Medium 3Mistral Medium 3 $0.80 · Grok 4.3 $1.56 · GPT-5.4 mini $1.69 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.4 mini 400,000 · Mistral Medium 3 131,072 tokens
- Widest inputsGrok 4.3GPT-5.4 mini: Text, Images · Mistral Medium 3: Text, Images · Grok 4.3: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5.4 mini | Mistral Medium 3 | Grok 4.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 58 | 77 |
| Price | 25% | 39 | 54 | 41 |
| Inputs & features | 15% | 70 | 50 | 80 |
| Context window | 10% | 44 | 24 | 60 |
| Overall | 100% | 63/100 | 53/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 148.8 | 134.1 | 149.2 (best) |
| ECI rank | #56 of 148 | #117 of 148 | #55 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 86.9% | 59.5% | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 51.2% (best) | — | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 88.9% | 32.2% | 93.3% (best) |
| SimpleQA VerifiedShort factual questions | 29.4% | — | 33.2% (best) |
| Price per million tokens | |||
| Input | $0.75 | $0.40 (best) | $1.25 |
| Output | $4.50 | $2.00 (best) | $2.50 |
| Cached input | $0.075 (best) | — | $0.20 |
| Blended (3:1) | $1.69 | $0.80 (best) | $1.56 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $5.00 |
| Price source | Official OpenAI API | Official Mistral API | Official xAI API |
| Limits | |||
| Context window | 400,000 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens | 131,072 tokens (best) | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | No | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-5.4-mini | mistral-medium-2505 | grok-4.3 |
| API providers | 29 (best) | 5 | 27 |
| Released | Mar 17, 2026 | May 7, 2025 | Apr 17, 2026 |
| Knowledge cutoff | Aug 31, 2025 | May 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-5.4 mini$16.50
Mistral Medium 3$8.00
Grok 4.3$17.50
Which should you choose?
Which is better: GPT-5.4 mini, Mistral Medium 3 or Grok 4.3?
Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.4 mini (63) and Mistral Medium 3 (53). It leads on inputs & features and context window. Mistral Medium 3 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 mini, Mistral Medium 3 or Grok 4.3?
Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Grok 4.3 costs $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). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3 versus $1.56 for Grok 4.3 (2× as much) and $1.69 for GPT-5.4 mini (2.1× 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 Mistral Medium 3 134.1 (#117 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%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, GPT-5.4 mini 88.9%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 mini, Mistral Medium 3 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?
Grok 4.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini and 131,072 for Mistral Medium 3. Maximum output per response: GPT-5.4 mini up to 128,000, Mistral Medium 3 up to 131,072, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 mini accepts text and images; Mistral Medium 3 accepts text and images; Grok 4.3 accepts text, images and PDFs. Grok 4.3 handles the widest range of inputs.
Are any of these open source?
No. GPT-5.4 mini, Mistral Medium 3 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; Mistral Medium 3 came out May 7, 2025. Knowledge cutoff: GPT-5.4 mini Aug 31, 2025, Mistral Medium 3 May 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.