GPT-5.4 mini vs Qwen3 235B-A22B vs Grok 4.3
Grok 4.3 comes out ahead, 67 to 63 and 51 on our weighted score, though Qwen3 235B-A22B is 22% cheaper per token.
OpenAIGPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
Alibaba (Qwen)Qwen3 235B-A22B
51/100- ECI139.4
- Price$0.70 / $2.80
- Context131K
- 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 GPT-5.4 mini (63) and Qwen3 235B-A22B (51). It leads on inputs & features and context window. Qwen3 235B-A22B 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 · Qwen3 235B-A22B 139.4
- Lowest priceQwen3 235B-A22BQwen3 235B-A22B $1.23 · 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 · Qwen3 235B-A22B 131,072 tokens
- Widest inputsGrok 4.3GPT-5.4 mini: Text, Images · Qwen3 235B-A22B: Text · Grok 4.3: Text, Images, PDFs
- Self-hostingQwen3 235B-A22BPublishes downloadable weights
| Measure | Weight | GPT-5.4 mini | Qwen3 235B-A22B | Grok 4.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 65 | 77 |
| Price | 25% | 39 | 46 | 41 |
| Inputs & features | 15% | 70 | 35 | 80 |
| Context window | 10% | 44 | 24 | 60 |
| Overall | 100% | 63/100 | 51/100 | 67/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.4 miniOpenAI | Qwen3 235B-A22BAlibaba (Qwen) | Grok 4.3xAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 148.8 | 139.4 | 149.2 (best) |
| ECI rank | #56 of 148 | #103 of 148 | #55 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 86.9% | 70.7% | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 51.2% (best) | — | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 88.9% | — | 93.3% (best) |
| SimpleQA VerifiedShort factual questions | 29.4% | — | 33.2% (best) |
| Price per million tokens | |||
| Input | $0.75 | $0.70 (best) | $1.25 |
| Output | $4.50 | $2.80 | $2.50 (best) |
| Cached input | $0.075 (best) | — | $0.20 |
| Blended (3:1) | $1.69 | $1.23 (best) | $1.56 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $5.00 |
| Price source | Official OpenAI API | Official Alibaba API | Official xAI API |
| Limits | |||
| Context window | 400,000 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens (best) | 16,384 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-5.4-mini | qwen3-235b-a22b | grok-4.3 |
| API providers | 29 (best) | 7 | 27 |
| Released | Mar 17, 2026 | Apr 28, 2025 | Apr 17, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Apr 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
- Qwen3 235B-A22B$12.60
- Grok 4.3$17.50
Which should you choose?
Which is better: GPT-5.4 mini, Qwen3 235B-A22B or Grok 4.3?
Grok 4.3 is the better all-round choice, scoring 67/100 against GPT-5.4 mini (63) and Qwen3 235B-A22B (51). It leads on inputs & features and context window. Qwen3 235B-A22B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 mini, Qwen3 235B-A22B or Grok 4.3?
Qwen3 235B-A22B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba 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 $1.23 per million tokens for Qwen3 235B-A22B versus $1.56 for Grok 4.3 (1.3× as much) and $1.69 for GPT-5.4 mini (1.4× 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 Qwen3 235B-A22B 139.4 (#103 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%, Qwen3 235B-A22B 70.7%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 mini, Qwen3 235B-A22B 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 Qwen3 235B-A22B. Maximum output per response: GPT-5.4 mini up to 128,000, Qwen3 235B-A22B up to 16,384, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 mini accepts text and images; Qwen3 235B-A22B accepts text; Grok 4.3 accepts text, images and PDFs. Grok 4.3 handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B publishes its weights and can be self-hosted; GPT-5.4 mini and Grok 4.3 is proprietary.
Which is newer?
Grok 4.3 is the newest, released Apr 17, 2026. GPT-5.4 mini came out Mar 17, 2026; Qwen3 235B-A22B came out Apr 28, 2025. Knowledge cutoff: GPT-5.4 mini Aug 31, 2025, Qwen3 235B-A22B Apr 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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