GPT-5.4 vs Qwen3.5-122B-A10B
GPT-5.4 (2026) and Qwen3.5-122B-A10B (2026) are frontier-tier reasoning models from OpenAI and Alibaba. GPT-5.4 ships a 1.05m-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On MMLU PRO, GPT-5.4 leads by 0.8 pts. On pricing, GPT-5.4 ranges from $2.50 to $5/1M input tokens by tier; Qwen3.5-122B-A10B costs $0.26/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
GPT-5.4 fits 4x more tokens; pick it for long-context work and Qwen3.5-122B-A10B for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-5.4 | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1.05m | 262k |
| Cheapest output | $15/1M tokens | $2.08/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 7 shared |
Decision tradeoffs
- GPT-5.4 holds a shared-benchmark lead on MMLU PRO, ahead by 0.8 points.
- GPT-5.4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 has broader tracked provider coverage for fallback and route flexibility.
- GPT-5.4 uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.4 for Coding, RAG, and Agents.
- Qwen3.5-122B-A10B holds a shared-benchmark lead on SWE-bench Verified, ahead by 0.3 points.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- Local decision data tags Qwen3.5-122B-A10B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.4
$5,750
Cheapest tracked route/tier: OpenAI API
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $5,022. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-122B-A10B is $12.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.4 is $12.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.4 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-05 | 2026-02-24 |
| Context window | 1.05m | 262k |
| Parameters | — | 122B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.4 | Qwen3.5-122B-A10B |
|---|---|---|
| Input price |
| $0.26/1M tokens |
| Output price |
| $2.08/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.4 | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5.4 | Qwen3.5-122B-A10B |
|---|---|---|
| MMLU PRO | 87.5 | 86.7 |
| SWE-bench Verified | 71.7 | 72.0 |
| Google-Proof Q&A | 92.0 | 85.7 |
| Humanity's Last Exam | 41.6 | 25.3 |
| MultiChallenge | 69.2 | 61.5 |
| MMMU Pro | 81.2 | 76.9 |
| τ-bench | 78.3 | 79.5 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.