Claude Haiku 4.5 vs Gemini 2.5 Flash vs GLM-4.7
Gemini 2.5 Flash comes out ahead, 66 to 57 and 55 on our weighted score, and it is the cheaper option too.
AnthropicClaude Haiku 4.5
57/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
- Our pick
GoogleGemini 2.5 Flash
66/100- ECI140.6
- Price$0.30 / $2.50
- Context1.05M
Z.ai (Zhipu)GLM-4.7
55/100- ECI143.7
- Price$0.60 / $2.20
- Context205K
Gemini 2.5 Flash is our pick
Gemini 2.5 Flash is the better all-round choice, scoring 66/100 against Claude Haiku 4.5 (57) and GLM-4.7 (55). It leads on price, inputs & features and context window. GLM-4.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGLM-4.7Capabilities Index (ECI): GLM-4.7 143.7 · Claude Haiku 4.5 142.2 · Gemini 2.5 Flash 140.6
- Lowest priceGemini 2.5 FlashGemini 2.5 Flash $0.85 · GLM-4.7 $1.00 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · GLM-4.7 204,800 · Claude Haiku 4.5 200,000 tokens
- Widest inputsGemini 2.5 FlashClaude Haiku 4.5: Text, Images, PDFs · Gemini 2.5 Flash: Text, Images, PDFs, Audio, Video · GLM-4.7: Text
- Self-hostingGLM-4.7Publishes downloadable weights
| Measure | Weight | Claude Haiku 4.5 | Gemini 2.5 Flash | GLM-4.7 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 67 | 65 | 69 |
| Price | 25% | 34 | 51 | 48 |
| Inputs & features | 15% | 80 | 100 | 35 |
| Context window | 10% | 32 | 61 | 32 |
| Overall | 100% | 57/100 | 66/100 | 55/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 4.5Anthropic | Gemini 2.5 FlashGoogle | GLM-4.7Z.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.2 | 140.6 | 143.7 (best) |
| ECI rank | #102 of 165 | #110 of 165 | #94 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 71.2% | — | 83.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | — | 83.3% (best) |
| SimpleQA VerifiedShort factual questions | 13.2% | — | 32.2% (best) |
| Price per million tokens | |||
| Input | $1.00 | $0.30 (best) | $0.60 |
| Output | $5.00 | $2.50 | $2.20 (best) |
| Cached input | $0.10 | $0.03 (best) | $0.11 |
| Blended (3:1) | $2.00 | $0.85 (best) | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Official Google API | Official Z.AI API |
| Limits | |||
| Context window | 200,000 tokens | 1,048,576 tokens (best) | 204,800 tokens |
| Max output | 64,000 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | claude-haiku-4-5 | gemini-2.5-flash | glm-4.7 |
| API providers | 48 (best) | 32 | 31 |
| Released | Oct 15, 2025 | Jun 17, 2025 | Dec 22, 2025 |
| Knowledge cutoff | Feb 28, 2025 | Jan 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.
- Claude Haiku 4.5$20.00
- Gemini 2.5 Flash$8.00
- GLM-4.7$10.40
Which should you choose?
Which is better: Claude Haiku 4.5, Gemini 2.5 Flash or GLM-4.7?
Gemini 2.5 Flash is the better all-round choice, scoring 66/100 against Claude Haiku 4.5 (57) and GLM-4.7 (55). It leads on price, inputs & features and context window. GLM-4.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, Gemini 2.5 Flash or GLM-4.7?
Gemini 2.5 Flash is cheaper at $0.30 input / $2.50 output per million tokens (official Google 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 $0.85 per million tokens for Gemini 2.5 Flash versus $1.00 for GLM-4.7 (1.2× as much) and $2.00 for Claude Haiku 4.5 (2.4× as much).
Which scores higher on benchmarks?
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 Gemini 2.5 Flash 140.6 (#110 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.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5, Gemini 2.5 Flash and GLM-4.7 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.
Which has the bigger context window?
Gemini 2.5 Flash has the largest context window at 1,048,576 tokens, against 204,800 for GLM-4.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: Claude Haiku 4.5 up to 64,000, Gemini 2.5 Flash up to 65,536, GLM-4.7 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; Gemini 2.5 Flash accepts text, images, PDFs, audio and video; GLM-4.7 accepts text. Gemini 2.5 Flash handles the widest range of inputs.
Are any of these open source?
GLM-4.7 publishes its weights and can be self-hosted; Claude Haiku 4.5 and Gemini 2.5 Flash is proprietary.
Which is newer?
GLM-4.7 is the newest, released Dec 22, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Gemini 2.5 Flash came out Jun 17, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Gemini 2.5 Flash Jan 2025, GLM-4.7 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 Nov 2, 2026.
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