ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-5.1 vs GPT-5.6 Sol vs Claude Opus 5

Too close to call on our weighted score (GPT-5.6 Sol 66, Claude Opus 5 66, GLM-5.1 57). The right pick depends on what you value most.

  1. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
  2. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI161.8
    • Price$4.00 / $20.00
    • Context1.05M
  3. Anthropic

    Claude Opus 5

    Released Jul 24, 2026

    66/100
    • ECI162.9
    • Price$5.00 / $25.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GPT-5.6 Sol 66/100, Claude Opus 5 66/100, GLM-5.1 57/100), so choose by what matters most for your work: Claude Opus 5 for raw capability, GLM-5.1 on price and GPT-5.6 Sol for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Opus 5Capabilities Index (ECI): Claude Opus 5 162.9 · GPT-5.6 Sol 161.8 · GLM-5.1 149.9
  • Lowest priceGLM-5.1GLM-5.1 $2.15 · GPT-5.6 Sol $8.00 · Claude Opus 5 $10.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Claude Opus 5 1,000,000 · GLM-5.1 200,000 tokens
  • Widest inputsGPT-5.6 Sol and Claude Opus 5GLM-5.1: Text · GPT-5.6 Sol: Text, Images, PDFs · Claude Opus 5: Text, Images, PDFs
  • Self-hostingGLM-5.1Publishes downloadable weights
How the score is built
MeasureWeightGLM-5.1GPT-5.6 SolClaude Opus 5
CapabilityCapabilities Index (ECI)50%789394
Price25%3472
Inputs & features15%458080
Context window10%326160
Overall100%57/10066/10066/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GLM-5.1 vs GPT-5.6 Sol vs Claude Opus 5 specifications side by side
SpecificationGLM-5.1Z.ai (Zhipu)GPT-5.6 SolOpenAIClaude Opus 5Anthropic
Capability
Capabilities Index (ECI)149.9161.8162.9 (best)
ECI rank#51 of 148#8 of 148#5 of 148 (best)
GPQA DiamondGraduate-level science questions89.9%93.5%93.9% (best)
FrontierMath Tiers 1–3Research-level mathematics36.8%89.1% (best)85.6%
OTIS Mock AIME 2024–2025Competition mathematics93.3%100% (best)98.9%
SWE-bench VerifiedFixing real GitHub issues74.2%——
SimpleQA VerifiedShort factual questions34.0%69.7% (best)59.9%
Price per million tokens
Input$1.40 (best)$4.00$5.00
Output$4.40 (best)$20.00$25.00
Cached input$0.26 (best)$0.40$0.50
Blended (3:1)$2.15 (best)$8.00$10.00
Long-context rateSame rateOver 272K: $8.00 / $30.00Same rate
Price sourceOfficial Z.AI APIOfficial OpenAI APIOfficial Anthropic API
Limits
Context window200,000 tokens1,050,000 tokens (best)1,000,000 tokens
Max output131,072 tokens (best)128,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDglm-5.1gpt-5.6-solclaude-opus-5
API providers40 (best)40 (best)35
ReleasedApr 7, 2026Jul 9, 2026Jul 24, 2026
Knowledge cutoff—Feb 16, 2026May 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GLM-5.1$22.80
  • GPT-5.6 Sol$80.00
  • Claude Opus 5$100.00
04 — Questions

Which should you choose?

Which is better: GLM-5.1, GPT-5.6 Sol or Claude Opus 5?

It is close. Our weighted score puts them within a point (GPT-5.6 Sol 66/100, Claude Opus 5 66/100, GLM-5.1 57/100), so choose by what matters most for your work: Claude Opus 5 for raw capability, GLM-5.1 on price and GPT-5.6 Sol for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.1, GPT-5.6 Sol or Claude Opus 5?

GLM-5.1 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price); Claude Opus 5 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.1 versus $8.00 for GPT-5.6 Sol (3.7× as much) and $10.00 for Claude Opus 5 (4.7× as much).

Which scores higher on benchmarks?

Claude Opus 5 scores higher on the Capabilities Index (ECI): Claude Opus 5 162.9 (#5 of 148), GPT-5.6 Sol 161.8 (#8 of 148) and GLM-5.1 149.9 (#51 of 148). The confidence ranges of the top two overlap (160.2–166.7 vs 159.3–165.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Opus 5 93.9%, GPT-5.6 Sol 93.5%, GLM-5.1 89.9%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Claude Opus 5 85.6%, GLM-5.1 36.8%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Claude Opus 5 98.9%, GLM-5.1 93.3%; SimpleQA Verified — GPT-5.6 Sol 69.7%, Claude Opus 5 59.9%, GLM-5.1 34.0%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol and Claude Opus 5 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5 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?

GPT-5.6 Sol has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Opus 5 and 200,000 for GLM-5.1. Maximum output per response: GLM-5.1 up to 131,072, GPT-5.6 Sol up to 128,000, Claude Opus 5 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GLM-5.1 accepts text; GPT-5.6 Sol accepts text, images and PDFs; Claude Opus 5 accepts text, images and PDFs. GPT-5.6 Sol handles the widest range of inputs.

Are any of these open source?

GLM-5.1 publishes its weights and can be self-hosted; GPT-5.6 Sol and Claude Opus 5 is proprietary.

Which is newer?

Claude Opus 5 is the newest, released Jul 24, 2026. GPT-5.6 Sol came out Jul 9, 2026; GLM-5.1 came out Apr 7, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026, Claude Opus 5 May 2026.

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.