GPT-5-Codex vs Qwen3.5 Plus vs Gemini 2.5 Computer Use Preview
Qwen3.5 Plus comes out ahead, 59 to 42 and 35 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
- Our pick
Alibaba (Qwen)Qwen3.5 Plus
59/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Qwen3.5 Plus is our pick
Qwen3.5 Plus is the better all-round choice, scoring 59/100 against GPT-5-Codex (42) and Gemini 2.5 Computer Use Preview (35). It leads on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen3.5 PlusQwen3.5 Plus $0.90 · GPT-5-Codex $3.44 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · GPT-5-Codex 400,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsQwen3.5 PlusGPT-5-Codex: Text, Images · Qwen3.5 Plus: Text, Images, Video · Gemini 2.5 Computer Use Preview: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-5-Codex | Qwen3.5 Plus | Gemini 2.5 Computer Use Preview |
|---|---|---|---|---|
| Price | 50% | 24 | 52 | 24 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 44 | 60 | 24 |
| Overall | 100% | 42/100 | 59/100 | 35/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5-CodexOpenAI | Qwen3.5 PlusAlibaba (Qwen) | Gemini 2.5 Computer Use PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 146.8 | — |
| ECI rank | — | #65 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 84.9% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| SimpleQA VerifiedShort factual questions | — | 25.4% | — |
| Price per million tokens | |||
| Input | $1.25 | $0.40 (best) | $1.25 |
| Output | $10.00 | $2.40 (best) | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $0.90 (best) | $3.44 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Median of 3 providers | Official Alibaba API | Official Google API |
| Limits | |||
| Context window | 400,000 tokens | 1,000,000 tokens (best) | 128,000 tokens |
| Max output | 128,000 tokens (best) | 65,536 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | qwen3.5-plus | gemini-2.5-computer-use-preview-10-2025 |
| API providers | 3 | 10 (best) | 2 |
| Released | Sep 15, 2025 | Feb 16, 2026 | Oct 7, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Apr 2025 | Jan 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-Codex$32.50
- Qwen3.5 Plus$8.80
- Gemini 2.5 Computer Use Preview$32.50
Which should you choose?
Which is better: GPT-5-Codex, Qwen3.5 Plus or Gemini 2.5 Computer Use Preview?
Qwen3.5 Plus is the better all-round choice, scoring 59/100 against GPT-5-Codex (42) and Gemini 2.5 Computer Use Preview (35). It leads on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5-Codex, Qwen3.5 Plus or Gemini 2.5 Computer Use Preview?
Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). GPT-5-Codex costs $1.25 input / $10.00 output per million tokens (median across 3 API providers); Gemini 2.5 Computer Use Preview 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 $0.90 per million tokens for Qwen3.5 Plus versus $3.44 for GPT-5-Codex (3.8× as much) and $3.44 for Gemini 2.5 Computer Use Preview (3.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5-Codex has not been scored yet, Qwen3.5 Plus has an ECI of 146.8 and Gemini 2.5 Computer Use Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5-Codex, Qwen3.5 Plus and Gemini 2.5 Computer Use Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.5 Plus has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5-Codex and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: GPT-5-Codex up to 128,000, Qwen3.5 Plus up to 65,536, Gemini 2.5 Computer Use Preview up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5-Codex accepts text and images; Qwen3.5 Plus accepts text, images and video; Gemini 2.5 Computer Use Preview accepts text and images. Qwen3.5 Plus handles the widest range of inputs.
Are any of these open source?
No. GPT-5-Codex, Qwen3.5 Plus and Gemini 2.5 Computer Use Preview are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.5 Plus is the newest, released Feb 16, 2026. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; GPT-5-Codex came out Sep 15, 2025. Knowledge cutoff: GPT-5-Codex Sep 30, 2024, Qwen3.5 Plus Apr 2025, Gemini 2.5 Computer Use Preview Jan 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.
