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Qwen3.8 2.4T-A95B on iac-bench 2026-10

Alibaba's Qwen3.8 2.4T-A95B, an open-weight model accessed via OpenRouter and priced at $2.00/$6.00 per million input/output tokens, scored an overall composite of 81.6 on the iac-bench 2026-10 infrastructure-as-code evaluation, ranking 11th of 16 models with a 95% rank interval of 7–13, according to Massdriver's LLM rankings. The model planned all 9 attempts (3 fixtures Γ— 3 samples) at an estimated total cost of $4.41, but 4 of 9 attempts carried a security finding β€” one on the S3 fixture and three on App Service β€” and its App Service result (71.7, 13th) was its weakest, versus Cloud SQL (89.0, fifth) as its strongest and the best of the open-weight models.

by read5 min views9 publishedNov 4, 2026
Qwen3.8 2.4T-A95B on iac-bench 2026-10
Image: Massdriver (auto-discovered)

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How Qwen3.8 2.4T-A95B did on iac-bench 2026-10: an overall composite of 81.6, scores per fixture, strengths, weaknesses and the patterns in its OpenTofu modules.

Every model evaluated on the 2026-10 fixtures side by side, with a sortable leaderboard, picks by use case and the cost of each: LLM rankings.

| Developer | Alibaba | | API identifier | qwen/qwen3.8-2.4t-a95b | | Access | OpenRouter, pinned to Alibaba's endpoint | | Weights | Open | | List price (USD / M tokens, in / out) | 2.00 / 6.00 (OpenRouter, 2026-11-10) | | Evaluated | 2026-11-10 (generation and judge) | | Attempts | 9 (3 fixtures Γ— 3 samples) | | Overall composite | 81.6 (95% CI 71.7–86.2) | | Rank | 11 of 16 (95% rank interval 7–13) | | Mechanical only / judge only | 78.6 (rank 12) / 86.8 (rank 11) | | Failed gates Β· insecure attempts | 0/9 Β· 4/9 | | Estimated cost, all 9 attempts | $4.41 |

Qwen3.8 2.4T-A95B places eleventh of 16 by composite (81.6), between GLM-5.3 (82.5) and GPT-6 Luna (81.5), with a 95% rank interval of 7–13. Against its neighbours the bootstrap is close to a coin flip: it finishes ahead of Kimi K3 in 48% of resamples, GPT-6 Luna in 45% and GLM-5.3 in 43%, and ahead of Kimi K3.1 Pro in 2%. All 9 attempts cost $4.40, against $3.52 for Kimi K3.1 Pro, $3.96 for Kimi K3, $8.46 for GLM-5.3 and $0.88 for DeepSeek V4 Pro.

All 9 attempts planned. 4 of 9 carry a security finding: one on S3 and three on App Service. Cloud SQL (G002) is its strongest fixture, fifth in the field by median composite (89.0) and the highest of the open-weight models. App Service (G003) is its weakest, thirteenth (71.7).

Fixture Composite median (range) Rubric median Expertise Judge median βœ— gate ⚠ security Median inputs Median output tokens Median time Median cost
G001 Β· S3 84.1 (66.8–91.0) 0.791 6/7 94.7 0/3 1/3 ( H1 ) 9 27,441 766 s $0.326
G002 Β· Cloud SQL 89.0 (85.3–89.6) 0.897 5/9 89.5 0/3 0/3 20 37,210 1055 s $0.434
G003 Β· App Service 71.7 (59.4–78.7) 0.706 3/5 76.3 0/3 3/3 ( H1 ,H2 ) 29 42,862 1383 s $0.523

Rubric items not at full credit, counted over attempts that planned: G001: A5 2/3, B1 3/3, H1 1/3, H9 2/3, H12 3/3, H13 3/3, H15 2/3; G002: A4 1/3, B1 2/3, H4 3/3, H5 3/3, H11 2/3; G003: A6 1/3, A7 3/3, H1 2/3, H2 2/3, H3 1/3, H4 1/3. Definitions are in Scoring criteria.

ipv4_enabled = false and ssl_mode = "ENCRYPTED_ONLY" are literals, where Kimi K3 lets ssl_mode be weakened in 3/3. The private network is derived from environment (apps-<environment>). cloudsql.iam_authentication, log_connections and log_disconnections over the DBA's flags, rejects any input that sets them, and refuses to disable deletion protection in prod. H9) appear in 3/3. H1 on S3 (e1); on App Service H2 (e1), google_sql_user names that PostgreSQL rejects until the .gserviceaccount.com suffix is trimmed (3/3). The judge caught it; the rubric did not.A7 partial or zero, 3/3). The 41-input attempt also exposes http2_enabled (A6). H13, 3/3); logging ( H15) each appear in 1/3; H4/ H5 at 0.75, 3/3), and backups never outlive the instance (E1, 0/3);deletion_policy in either attempt that declares databases (H11). B1): >= 5.0 or >= 6.0 on S3 (3/3), and >= 5.30.0, < 7.0.0 spanning two majors on Cloud SQL (2/3). Wide spread within a fixture. Mechanical scores run 0.57–0.87 on S3 and 0.53–0.80 on App Service, against a spread of 0.05 on Cloud SQL, all from modules that plan. Each sample hardcodes a different subset of the security posture and exposes the rest:

allow_public_access, which turns off all four public-access-block settings (https_only and the managed identity as inputs (minimum_tls_version and ftps_state with validations that accept "1.0" and "AllAllowed" (H3). Kimi K3.1 Pro varies by at most 0.075 on any fixture. Kimi K3 and GLM-5.3 have wider App Service spreads, but theirs come from a failed plan.

Long transcripts. Median 37,210 output tokens per attempt, second in the field after GLM-5.3. The longest (App Service e2: 68,729 tokens, $1.02, 41 inputs) is also its lowest-scoring attempt (59.4).

G003/qwen3.8-2.4t-a95b-e3/main.tf lines 48–67

  https_only                    = var.https_only
  public_network_access_enabled = var.public_network_access_enabled
  virtual_network_subnet_id     = var.virtual_network_subnet_id

  client_affinity_enabled = false

  ftp_publish_basic_authentication_enabled       = false
  webdeploy_publish_basic_authentication_enabled = false

  dynamic "identity" {
    for_each = var.managed_identity_enabled ? ["SystemAssigned"] : []

    content {
      type = identity.value
    }
  }

One App Service resource, two postures. Basic-auth publishing is hardcoded off with a comment explaining why, while HTTPS-only and the managed identity are left to inputs (https_only, managed_identity_enabled). Both default to the secure setting, but either can be switched off, which costs this attempt H1 and H4. Each App Service sample draws this line in a different place.

How Claude Fable 5.1 did on iac-bench 2026-10: an overall composite of 86.9, scores per fixture, strengths, weaknesses and the patterns in its OpenTofu modules.

How Claude Fable 5.2 did on iac-bench 2026-10: an overall composite of 93.9, scores per fixture, strengths, weaknesses and the patterns in its OpenTofu modules.

How Claude Haiku 5.5 did on iac-bench 2026-10: an overall composite of 68.0, scores per fixture, strengths, weaknesses and the patterns in its OpenTofu modules.

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