GPT-5.4 mini vs Qwen3.6 35B-A3B vs Grok 4.3
Too close to call on our weighted score (Qwen3.6 35B-A3B 68, Grok 4.3 67, GPT-5.4 mini 63). The right pick depends on what you value most.
OpenAI
GPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
Alibaba (Qwen)
Qwen3.6 35B-A3B
68/100- ECI143.9
- Price$0.248 / $1.49
- Context262K
xAI
Grok 4.3
67/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3.6 35B-A3B 68/100, Grok 4.3 67/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.6 35B-A3B 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 · Qwen3.6 35B-A3B 143.9
- Lowest priceQwen3.6 35B-A3BQwen3.6 35B-A3B $0.557 · 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 · Qwen3.6 35B-A3B 262,144 tokens
- Widest inputsQwen3.6 35B-A3BGPT-5.4 mini: Text, Images · Qwen3.6 35B-A3B: Text, Images, Audio, Video · Grok 4.3: Text, Images, PDFs
- Self-hostingQwen3.6 35B-A3BPublishes downloadable weights
| Measure | Weight | GPT-5.4 mini | Qwen3.6 35B-A3B | Grok 4.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 70 | 77 |
| Price | 25% | 39 | 62 | 41 |
| Inputs & features | 15% | 70 | 90 | 80 |
| Context window | 10% | 44 | 37 | 60 |
| Overall | 100% | 63/100 | 68/100 | 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 | 143.9 | 149.2 (best) |
| ECI rank | #56 of 148 | #83 of 148 | #55 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 86.9% | 84.9% | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 51.2% (best) | 20.4% | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 88.9% | 86.7% | 93.3% (best) |
| SimpleQA VerifiedShort factual questions | 29.4% | — | 33.2% (best) |
| Price per million tokens | |||
| Input | $0.75 | $0.248 (best) | $1.25 |
| Output | $4.50 | $1.49 (best) | $2.50 |
| Cached input | $0.075 (best) | — | $0.20 |
| Blended (3:1) | $1.69 | $0.557 (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 | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens (best) | 65,536 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-5.4-mini | qwen3.6-35b-a3b | grok-4.3 |
| API providers | 29 | 34 (best) | 27 |
| Released | Mar 17, 2026 | Apr 17, 2026 | Apr 17, 2026 |
| Knowledge cutoff | 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.
GPT-5.4 mini$16.50
Qwen3.6 35B-A3B$5.45
Grok 4.3$17.50
Which should you choose?
Which is better: GPT-5.4 mini, Qwen3.6 35B-A3B or Grok 4.3?
It is close. Our weighted score puts them within 1 points (Qwen3.6 35B-A3B 68/100, Grok 4.3 67/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.6 35B-A3B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 mini, Qwen3.6 35B-A3B or Grok 4.3?
Qwen3.6 35B-A3B is cheaper at $0.248 input / $1.49 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 $0.557 per million tokens for Qwen3.6 35B-A3B versus $1.56 for Grok 4.3 (2.8× as much) and $1.69 for GPT-5.4 mini (3× 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 Qwen3.6 35B-A3B 143.9 (#83 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%, Qwen3.6 35B-A3B 84.9%; FrontierMath Tiers 1–3 — GPT-5.4 mini 51.2%, Grok 4.3 42.8%, Qwen3.6 35B-A3B 20.4%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, GPT-5.4 mini 88.9%, Qwen3.6 35B-A3B 86.7%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 mini, Qwen3.6 35B-A3B 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 262,144 for Qwen3.6 35B-A3B. Maximum output per response: GPT-5.4 mini up to 128,000, Qwen3.6 35B-A3B up to 65,536, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 mini accepts text and images; Qwen3.6 35B-A3B accepts text, images, audio and video; Grok 4.3 accepts text, images and PDFs. Qwen3.6 35B-A3B handles the widest range of inputs.
Are any of these open source?
Qwen3.6 35B-A3B publishes its weights and can be self-hosted; GPT-5.4 mini and Grok 4.3 is proprietary.
Which is newer?
Qwen3.6 35B-A3B is the newest, released Apr 17, 2026. Grok 4.3 came out Apr 17, 2026; GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: 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.