GLM-4.7 vs GPT-5 Nano vs Claude Haiku 4.5

GPT-5 Nano is the better all-round choice, scoring 68/100 against Claude Haiku 4.5 (57) and GLM-4.7 (55). It leads on price and context window. GLM-4.7 wins on capability. Claude Haiku 4.5 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GPT-5 Nano is cheaper at $0.05 input / $0.40 output per million tokens (official OpenAI API price). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.138 per million tokens for GPT-5 Nano versus $1.00 for GLM-4.7 (7.3× as much) and $2.00 for Claude Haiku 4.5 (15× as much).

GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.7 (#94 of 165), Claude Haiku 4.5 142.2 (#102 of 165) and GPT-5 Nano 139.3 (#116 of 165). The confidence ranges of the top two overlap (141.4–145.8 vs 139.4–143.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Claude Haiku 4.5 71.2%, GPT-5 Nano 69.4%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, GPT-5 Nano 81.1%, Claude Haiku 4.5 66.7%; SimpleQA Verified — GLM-4.7 32.2%, Claude Haiku 4.5 13.2%, GPT-5 Nano 11.7%.

There are no published SWE-bench Verified results for GLM-4.7, GPT-5 Nano and Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

GPT-5 Nano has the largest context window at 400,000 tokens, against 204,800 for GLM-4.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: GLM-4.7 up to 131,072, GPT-5 Nano up to 128,000, Claude Haiku 4.5 up to 64,000 tokens.

GLM-4.7 accepts text; GPT-5 Nano accepts text and images; Claude Haiku 4.5 accepts text, images and PDFs. Claude Haiku 4.5 handles the widest range of inputs.

GLM-4.7 publishes its weights and can be self-hosted; GPT-5 Nano and Claude Haiku 4.5 is proprietary.

GLM-4.7 is the newest, released Dec 22, 2025. Claude Haiku 4.5 came out Oct 15, 2025; GPT-5 Nano came out Aug 7, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, GPT-5 Nano May 30, 2024, Claude Haiku 4.5 Feb 28, 2025.

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 Nov 2, 2026.